{"id":"W4414344793","doi":"10.1158/1538-7755.disp25-ia012","title":"Abstract IA012: The NCTN biospecimen banks resource","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Translational research; Resource (disambiguation); Biorepository; Variety (cybernetics); Translational science; Tissue bank; Cancer; Biobank","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02033793,0.001276002,0.001718475,0.008330691,0.002305049,0.01006462,0.00601802,0.00278704,0.4254178],"category_scores_gemma":[0.09013428,0.001607431,0.0009837436,0.01473207,0.001155951,0.00640016,0.00716974,0.00300747,0.30225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004081306,"about_ca_system_score_gemma":0.02182689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02142297,"about_ca_topic_score_gemma":0.02021229,"domain_scores_codex":[0.9889978,0.003753996,0.001873018,0.001065754,0.003542334,0.0007670734],"domain_scores_gemma":[0.9462462,0.01813452,0.003505995,0.01175867,0.01323433,0.007120342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001191521,0.0000156681,0.000304948,0.000154711,0.000005319417,0.00003212394,0.00002936525,0.00007753821,0.00008208762,0.002081665,0.9796554,0.01744207],"study_design_scores_gemma":[0.0001286255,0.00001089252,0.0006651817,0.0002973136,0.000008785416,0.00005210593,0.00004246104,0.0002280661,0.0001857424,0.002458243,0.9958967,0.00002581094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0009086686,0.001974677,0.01040434,0.01183496,0.002741199,0.001917839,0.718991,0.01754198,0.2336854],"genre_scores_gemma":[0.006799862,0.002225852,0.02867859,0.006449524,0.0009818607,0.004921444,0.8428723,0.009097764,0.09797281],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4254178,"threshold_uncertainty_score":0.8195718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1851349901725869,"score_gpt":0.5037387727827626,"score_spread":0.3186037826101756,"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."}}