@prefix this: <https://w3id.org/np/RAcwdvjcKilseF3uCdHr8TX-FDYwvPk7VsiQcnQLE7yvs> .
@prefix sub: <https://w3id.org/np/RAcwdvjcKilseF3uCdHr8TX-FDYwvPk7VsiQcnQLE7yvs/> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix npx: <http://purl.org/nanopub/x/> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

sub:Head {
  this: a np:Nanopublication;
    np:hasAssertion sub:assertion;
    np:hasProvenance sub:provenance;
    np:hasPublicationInfo sub:pubinfo .
}

sub:assertion {
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    a <https://w3id.org/delphi/ontology/LLMClaimAssessment>;
    dc:description "The variables, fit, comparator, and decision criterion are unusually explicit, and the full text specifies much of the model. A small team could reproduce the computational test, but recreating unpublished inputs introduces implementation uncertainty and only resolves the law for the idealized model. Held-out geometries are needed to distinguish predictive value from an in-sample fit.";
    dc:subject <https://w3id.org/delphi/resource/concept/dataset-resolvability-0.2.0>;
    <http://www.w3.org/2000/01/rdf-schema#comment> "Proposed test with existing data: Reimplement the specified network and crack geometries, estimate failure stress for each relative crack size, fit C by least squares, and compare held-out prediction errors for the blunting law and LEFM. Confirmation requires stable C near 1.102 and substantially lower out-of-sample error than LEFM; instability or no predictive advantage refutes it.";
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    prov:wasAttributedTo <https://w3id.org/delphi/resource/agent/delphisci-resolvability-assessor-gpt-5.6-sol-medium>;
    <https://w3id.org/delphi/ontology/assessmentType> "dataset-resolvability/0.2.0";
    <https://w3id.org/delphi/ontology/evidenceAgainst> "C was fitted to the same simulated geometries used to report agreement.",
      "The law has not been independently tested on physical alpha-helical networks.", "The original trajectories and input files are not public.";
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    prov:wasAttributedTo <https://w3id.org/delphi/resource/agent/delphisci-resolvability-assessor-gpt-5.6-sol-medium>;
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    dc:subject <https://w3id.org/delphi/resource/concept/dataset-resolvability-0.2.0-discriminating-power>;
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    prov:wasAttributedTo <https://w3id.org/delphi/resource/agent/delphisci-resolvability-assessor-gpt-5.6-sol-medium>;
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    a <https://w3id.org/delphi/ontology/LLMClaimAssessment>;
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    dc:subject <https://w3id.org/delphi/resource/concept/dataset-resolvability-0.2.0-operationalizability>;
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    prov:wasAttributedTo <https://w3id.org/delphi/resource/agent/delphisci-resolvability-assessor-gpt-5.6-sol-medium>;
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  <https://w3id.org/delphi/resource/claim/buehler-2009-helical-networks-09> <https://w3id.org/delphi/ontology/hasAssessment>
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      <https://w3id.org/delphi/resource/assessment/buehler-2009-helical-networks-09--gpt--operationalizability> .
  
  <https://w3id.org/delphi/resource/evidence/buehler-2009-helical-networks-09--gpt--dataset-1>
    a <https://w3id.org/delphi/ontology/EvidenceItem>;
    dc:description "open simulation software in which the publicly described mesoscale model can be reimplemented";
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    prov:wasDerivedFrom <https://www.lammps.org/> .
  
  <https://w3id.org/delphi/resource/model/gpt-5.6-sol-medium> a <https://w3id.org/delphi/ontology/LanguageModel>;
    dc:identifier "gpt-5.6-sol-medium";
    <http://www.w3.org/2000/01/rdf-schema#label> "GPT-5.6 Sol" .
}

sub:provenance {
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    prov:wasDerivedFrom <https://github.com/fractastical/delphisci/blob/67fe5b156cfeca15a2ded33e0face4177d03101c/claim-sources/buehler-protein-materials/assessment/raw/gpt/batch-3.json>,
      <https://w3id.org/delphi/resource/concept/dataset-resolvability-0.2.0>;
    prov:wasGeneratedBy sub:assessment .
  
  sub:assessment a prov:Activity;
    prov:qualifiedAssociation sub:assessmentPlan;
    prov:wasAssociatedWith <https://w3id.org/delphi/resource/agent/delphisci-resolvability-assessor-gpt-5.6-sol-medium> .
  
  sub:assessmentPlan prov:hadPlan <https://github.com/fractastical/delphisci/blob/67fe5b156cfeca15a2ded33e0face4177d03101c/claim-sources/buehler-protein-materials/README.md> .
}

sub:pubinfo {
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      "buehler-protein-materials" .
  
  this: dc:created "2026-11-08T04:48:50.317Z"^^xsd:dateTime;
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    dc:license <https://creativecommons.org/licenses/by/4.0/>;
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    npx:introduces <https://w3id.org/delphi/resource/assessment/buehler-2009-helical-networks-09--gpt>;
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