{"id":"W4412488734","doi":"10.1007/s00428-025-04169-4","title":"Indirect clinical validation for predictive biomarkers in oncology: International Quality Network for Pathology (IQN Path) Position Paper","year":2025,"lang":"en","type":"article","venue":"Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Canadian Light Source (Canada); University of Saskatchewan; Royal University Hospital","funders":"","keywords":"Medical physics; Clinical trial; Medicine; Biomarker; Clinical Practice; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2836681,0.002149514,0.002036712,0.005631969,0.003996089,0.02395783,0.0125168,0.02031626,0.007330502],"category_scores_gemma":[0.1788879,0.001421724,0.003811585,0.004120545,0.009534335,0.01146186,0.01706234,0.01860475,0.007363452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01715751,"about_ca_system_score_gemma":0.1275838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01434923,"about_ca_topic_score_gemma":0.0135552,"domain_scores_codex":[0.8104972,0.06998013,0.0163154,0.01093899,0.08461131,0.007656885],"domain_scores_gemma":[0.6983997,0.06797547,0.03318697,0.01895231,0.160442,0.02104349],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000311986,0.0003014991,0.004253585,0.003263576,0.0002058639,0.0003782662,0.001163126,0.001935545,0.002231357,0.1731841,0.5601956,0.2525755],"study_design_scores_gemma":[0.0002141072,0.0003800785,0.004085016,0.008482321,0.0001832553,0.0004125749,0.000417665,0.001833798,0.003082642,0.0446413,0.9361283,0.0001388644],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.004183756,0.05703197,0.1150589,0.636954,0.04631381,0.006913054,0.003358642,0.001339795,0.128846],"genre_scores_gemma":[0.06503148,0.05626674,0.4398123,0.3120324,0.01903712,0.009281131,0.01243028,0.001453242,0.08465522],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.716332,"threshold_uncertainty_score":0.8833648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3466416656673467,"score_gpt":0.6068853853795204,"score_spread":0.2602437197121737,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}