{"id":"W3003819548","doi":"10.1089/bio.2019.0126","title":"Comparison and Analysis of Two Internationally Recognized Biobanking Standards","year":2020,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Centre Hospitalier de l’Université de Montréal; University of British Columbia","funders":"","keywords":"Biobank; Standardization; Conformity assessment; Accreditation; Certification; Quality assurance; Scope (computer science); Context (archaeology); Computer science; Quality (philosophy); Harmonization; International standard; Engineering management; Engineering; Medicine; Operations management; Medical education; Geography; Bioinformatics; Political science; Biology; External quality assessment","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.07269259,0.0005667383,0.0007458602,0.01952036,0.00196314,0.007689536,0.002690288,0.001484666,0.002829085],"category_scores_gemma":[0.154608,0.0003951436,0.0013478,0.02134491,0.002297738,0.004812812,0.004231941,0.00223616,0.0008655929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0140112,"about_ca_system_score_gemma":0.02038889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03247442,"about_ca_topic_score_gemma":0.0285636,"domain_scores_codex":[0.9040659,0.01425167,0.01397805,0.004842035,0.05986601,0.002996325],"domain_scores_gemma":[0.7145536,0.06135818,0.01866299,0.01759068,0.1848451,0.00298938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005141996,0.0004883955,0.1237365,0.00478491,0.0003345026,0.0006839698,0.02953612,0.006147553,0.008661902,0.2239913,0.05529706,0.5458237],"study_design_scores_gemma":[0.00009728895,0.0006753552,0.3212985,0.007480515,0.0006240032,0.0006949411,0.03661843,0.01065319,0.01680429,0.02684668,0.577837,0.0003697708],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3649338,0.01218021,0.1155672,0.01485688,0.002053881,0.002544968,0.0113321,0.002119977,0.474411],"genre_scores_gemma":[0.7512777,0.007712037,0.1695299,0.004906559,0.000383578,0.002828941,0.0387773,0.001395971,0.02318804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07269259,"threshold_uncertainty_score":0.3844398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5273814277283326,"score_gpt":0.5856319722711358,"score_spread":0.05825054454280321,"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."}}