{"id":"W2124057135","doi":"10.1089/bio.2011.0020","title":"A Proposed Schema for Classifying Human Research Biobanks","year":2011,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"BC Cancer Agency; Michael Smith Health Research BC","keywords":"Biobank; Schema (genetic algorithms); Computer science; Data science; Computational biology; Information retrieval; Bioinformatics; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02764254,0.001218198,0.001205266,0.0113498,0.004212356,0.01834448,0.005391628,0.00467971,0.00721],"category_scores_gemma":[0.0288257,0.001365023,0.003079382,0.01341513,0.003617538,0.01834007,0.004900276,0.003697837,0.004598032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005290124,"about_ca_system_score_gemma":0.01311731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01409278,"about_ca_topic_score_gemma":0.009515945,"domain_scores_codex":[0.9755049,0.00747907,0.007902102,0.003843754,0.004125071,0.001145064],"domain_scores_gemma":[0.9627873,0.01089672,0.003539895,0.007561711,0.01295503,0.002259271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000132386,0.0002722874,0.01039963,0.000958392,0.0001139474,0.0008157733,0.006731838,0.005007088,0.002960751,0.7880224,0.05102561,0.1335599],"study_design_scores_gemma":[0.0000775423,0.0001289677,0.003459273,0.001453852,0.0001542376,0.001614547,0.005547512,0.02601256,0.003657116,0.1889333,0.7687902,0.000170942],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009208681,0.0006661725,0.9372146,0.006822676,0.0007296309,0.004456509,0.01109277,0.004511163,0.02529787],"genre_scores_gemma":[0.0167077,0.0005067966,0.9622977,0.0009924129,0.000132727,0.001552402,0.01418361,0.000222138,0.003404577],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02764254,"threshold_uncertainty_score":0.1461895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4782123450186061,"score_gpt":0.4320864660738816,"score_spread":0.04612587894472447,"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."}}