{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07111733,0.0009610879,0.0005810133,0.006436407,0.007905649,0.008979898,0.006805456,0.004521086,0.01807178],"category_scores_gemma":[0.06689276,0.001289868,0.0009851354,0.004570342,0.005339372,0.005906722,0.01344071,0.006631296,0.00761794],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04947902,"about_ca_system_score_gemma":0.3673852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5182245,"about_ca_topic_score_gemma":0.6155856,"domain_scores_codex":[0.9588765,0.008389674,0.002020105,0.003436907,0.01999403,0.007282812],"domain_scores_gemma":[0.8614271,0.006841745,0.006772854,0.008973421,0.07607088,0.03991406],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001265858,0.0004418231,0.01096913,0.0004469732,0.00003008339,0.0003914728,0.002677976,0.001629306,0.00266307,0.04079518,0.6556796,0.2841489],"study_design_scores_gemma":[0.0001136036,0.0001027831,0.01295645,0.0004088253,0.00001489422,0.0002325094,0.0008765654,0.001975507,0.001292384,0.003722787,0.9781916,0.0001121359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.03374192,0.004075038,0.2129227,0.2539329,0.01138791,0.04373018,0.009945153,0.01622787,0.4140362],"genre_scores_gemma":[0.2044459,0.004161694,0.3701426,0.0498195,0.002490602,0.01487663,0.01779198,0.003653003,0.3326179],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.950521,"threshold_uncertainty_score":0.9692255,"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."}}