{"id":"W2793157556","doi":"10.1089/bio.2017.0116","title":"ISBER Best Practice-Based Education: ISBER-Canadian Tissue Repository Network Introduction to Biobanking","year":2018,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"University of British Columbia","keywords":"Biobank; Best practice; Biology; Bioinformatics; Political science","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":[0.02467391,0.0009071702,0.0005948208,0.002502443,0.0080756,0.008903789,0.003902107,0.01109849,0.07506221],"category_scores_gemma":[0.03423266,0.0008253338,0.0006987899,0.002042558,0.006127196,0.004275352,0.00909881,0.0114644,0.02101719],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03957026,"about_ca_system_score_gemma":0.1457547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3965798,"about_ca_topic_score_gemma":0.7288288,"domain_scores_codex":[0.9859574,0.003052085,0.0007266811,0.001043807,0.006448613,0.002771351],"domain_scores_gemma":[0.9437153,0.00674219,0.001465573,0.001501587,0.02026175,0.02631362],"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":[0.0000211916,0.0002014031,0.0009368915,0.0001645399,0.000003506377,0.0002338637,0.001653194,0.0002024532,0.0003612989,0.008216686,0.9153907,0.0726143],"study_design_scores_gemma":[0.00001381458,0.00002077305,0.003355378,0.0004757511,0.000002637427,0.0002062514,0.001503316,0.0001539253,0.0001948186,0.00520681,0.9888365,0.00003001721],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003824161,0.00592858,0.01104366,0.7183153,0.0126784,0.0008903358,0.0008969478,0.001636303,0.2447863],"genre_scores_gemma":[0.07076365,0.02024422,0.05397655,0.2656808,0.008620908,0.00162513,0.002409554,0.001186955,0.5754921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9604297,"threshold_uncertainty_score":0.7885429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1681773981947317,"score_gpt":0.4869344559496847,"score_spread":0.318757057754953,"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."}}