{"id":"W3048464602","doi":"10.1016/j.tim.2020.06.009","title":"Development of Microbiome Biobanks – Challenges and Opportunities","year":2020,"lang":"en","type":"article","venue":"Trends in Microbiology","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Agriculture and Agri-Food Canada","funders":"Horizon 2020; European Commission","keywords":"Biobank; Microbiome; Biology; Gut microbiome; Engineering ethics; Computational biology; Data science; Bioinformatics; Engineering; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.154543,0.001244952,0.001517224,0.003021027,0.00525737,0.02242778,0.007258392,0.01231637,0.0192448],"category_scores_gemma":[0.1486188,0.001134131,0.001516008,0.00250121,0.0132029,0.03368292,0.02059845,0.01709265,0.008311309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007132772,"about_ca_system_score_gemma":0.06536003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003212124,"about_ca_topic_score_gemma":0.003322306,"domain_scores_codex":[0.9330764,0.04420058,0.004147063,0.003747629,0.01060539,0.004222944],"domain_scores_gemma":[0.728957,0.1149814,0.0152536,0.02009431,0.04849258,0.07222112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003492881,0.0005197575,0.007103437,0.003742484,0.0001311718,0.000957984,0.003035598,0.002545769,0.001691712,0.2946007,0.2395556,0.4457664],"study_design_scores_gemma":[0.0001024068,0.0002519186,0.004093243,0.007910186,0.00003559205,0.001266566,0.006134207,0.002418297,0.0008469275,0.303832,0.67296,0.0001487109],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004220053,0.04760556,0.03257705,0.8974783,0.005818366,0.0003458912,0.0003389592,0.0003364625,0.01127933],"genre_scores_gemma":[0.1695341,0.187635,0.3663483,0.2282842,0.02549449,0.003550705,0.00280882,0.0008487893,0.01549573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.154543,"threshold_uncertainty_score":0.8173111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6973219109833081,"score_gpt":0.5173271363781033,"score_spread":0.1799947746052047,"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."}}