{"id":"W1964932481","doi":"10.1089/bio.2012.0026","title":"Certification for Biobanks: The Program Developed by the Canadian Tumour Repository Network (CTRNet)","year":2012,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Alberta Health Services; CancerCare Manitoba; BC Cancer Agency; Centre Hospitalier de l’Université de Montréal; University of Calgary; Bank of Canada; Island Health; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Biobank; Certification; Mandate; Context (archaeology); Documentation; Accreditation; Excellence; Scope (computer science); Corporate governance; Best practice; Quality assurance; Quality (philosophy); Biorepository; Business; Knowledge management; Medical education; Computer science; Political science; Medicine; Engineering; Bioinformatics; External quality assessment; Operations management","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003693346,0.000107803,0.0001165146,0.00003851248,0.001017691,0.0001725826,0.0002330764,0.0002488681,0.00001668147],"category_scores_gemma":[0.001897564,0.00005918173,0.00005163596,0.0003013579,0.0002442046,0.0001160994,0.00006388376,0.0005050719,0.000007844701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001271511,"about_ca_system_score_gemma":0.0003765866,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01279827,"about_ca_topic_score_gemma":0.03523526,"domain_scores_codex":[0.9984654,0.00009702083,0.0003341947,0.0002170174,0.0004150796,0.0004712907],"domain_scores_gemma":[0.9977393,0.001187758,0.000113191,0.0003544834,0.0004019055,0.0002033628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003209537,0.0002755152,0.6597428,0.0003509064,0.0001834053,0.000002012184,0.001433564,0.000002383609,0.01922848,0.06591456,0.1472707,0.1052748],"study_design_scores_gemma":[0.0004125891,0.0001301017,0.5522855,0.0001151244,0.00005813591,0.00001603518,0.000174718,0.00139581,0.002811591,0.003060935,0.4393907,0.0001487761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8092307,0.006679306,0.0006702968,0.1636641,0.001092742,0.006337588,0.00002466763,0.0002338894,0.01206665],"genre_scores_gemma":[0.9921574,0.0001126065,0.00166558,0.002242296,0.0008094218,0.0002894853,0.0000845999,0.00001756026,0.002621042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.29212,"threshold_uncertainty_score":0.9937756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4420487682551373,"score_gpt":0.4945883966056944,"score_spread":0.05253962835055709,"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."}}