{"id":"W3108890320","doi":"10.1089/bio.2020.0083","title":"Biobanking in the COVID-19 Era and Beyond: Part 2. A Set of Tool Implementation Case Studies","year":2020,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; CancerCare Manitoba; Ontario Institute for Cancer Research","funders":"National Cancer Institute; World Health Organization","keywords":"Biobank; Task (project management); Set (abstract data type); Task force; Coronavirus disease 2019 (COVID-19); Data science; Best practice; Computer science; Work (physics); Adaptability; Knowledge management; Engineering; Medicine; Political science; Bioinformatics; Systems engineering; Management; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002907133,0.00009525748,0.0002106683,0.00008673895,0.000145448,0.00004461848,0.00008521199,0.0001055111,0.00004691087],"category_scores_gemma":[0.005582386,0.00006553213,0.00003088636,0.0003640711,0.0002112749,0.0001195666,0.0001646756,0.0004007039,9.225976e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003444528,"about_ca_system_score_gemma":0.0001357269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002849694,"about_ca_topic_score_gemma":0.0006973919,"domain_scores_codex":[0.9985111,0.0001521061,0.0004580577,0.0002645557,0.0004545639,0.0001596062],"domain_scores_gemma":[0.9973693,0.002083377,0.0001256635,0.0001599829,0.0001752994,0.00008641278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005453399,0.00007842672,0.8650405,0.003190065,0.0001727625,0.0008521004,0.05749369,0.000005054138,0.009236472,0.03758269,0.003949508,0.02185338],"study_design_scores_gemma":[0.03142193,0.006660696,0.2774584,0.001593751,0.0008518827,0.002985016,0.3984053,0.008290717,0.01392072,0.1412483,0.1153317,0.001831634],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9217439,0.0007774696,0.0000772567,0.0767597,0.00003039448,0.000478407,0.00002688936,0.00001731883,0.00008862445],"genre_scores_gemma":[0.9833984,0.001286645,0.0005432122,0.01457345,0.0001221267,0.00002471541,0.00003152543,0.000006620005,0.00001324107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5875821,"threshold_uncertainty_score":0.6683041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6889840094913504,"score_gpt":0.6030613568899987,"score_spread":0.08592265260135168,"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."}}