{"id":"W1965456845","doi":"10.1089/bio.2012.0044","title":"Specimen Quality Evaluation in Canadian Biobanks Participating in the COEUR Repository","year":2013,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; University of Victoria; Université de Montréal; University of British Columbia; Ottawa Hospital; University Health Network; Jewish General Hospital; Alberta Cancer Foundation; University of Alberta; Centre Hospitalier de l’Université de Montréal; Université Laval; Institute for Research in Immunology and Cancer; Alberta Health Services; Hôtel-Dieu de Québec; BC Cancer Agency; McGill University; Vancouver General Hospital; Princess Margaret Cancer Centre; University of Calgary","funders":"Fonds de Recherche du Québec - Santé","keywords":"Biobank; RNA extraction; RNA; Biology; Tissue bank; DNA; Molecular biology; Computational biology; Bioinformatics; Gene; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.03824799,0.0007975404,0.001146808,0.007320834,0.007866976,0.0038742,0.00373725,0.0008997302,0.004571754],"category_scores_gemma":[0.05139989,0.000674845,0.0005992936,0.01070937,0.002628576,0.000969364,0.003354912,0.0007217942,0.0005445059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02711186,"about_ca_system_score_gemma":0.05299266,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7865084,"about_ca_topic_score_gemma":0.8902197,"domain_scores_codex":[0.9701198,0.004651663,0.002924049,0.003518886,0.01551585,0.003269896],"domain_scores_gemma":[0.9514845,0.003968557,0.006234639,0.005084815,0.031095,0.002132477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002510225,0.0001899665,0.7984854,0.001400436,0.0004331556,0.001569558,0.01062433,0.0008003058,0.01243485,0.007107018,0.0524631,0.1119817],"study_design_scores_gemma":[0.0001661827,0.0002912306,0.8593553,0.0009180063,0.0003191671,0.001266371,0.00624005,0.001579327,0.008213256,0.0008973118,0.1205911,0.0001627349],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8891563,0.01362486,0.02018196,0.005760496,0.0006189496,0.009608236,0.03676523,0.0005051877,0.02377891],"genre_scores_gemma":[0.8942882,0.004507381,0.05009478,0.002907623,0.0001821885,0.004593467,0.03220507,0.0003620053,0.01085925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2134916,"threshold_uncertainty_score":0.4294978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04306399273460033,"score_gpt":0.3341074301394963,"score_spread":0.291043437404896,"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."}}