{"id":"W4254213139","doi":"10.1089/bio.2013.0042","title":"Defining Biobank","year":2013,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":147,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biobank; Sample (material); Population; Confusion; Data science; Psychology; Medicine; Computer science; Biology; Bioinformatics; Environmental health","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":[0.0856423,0.0009864785,0.001018481,0.005807274,0.008357209,0.01945662,0.003707133,0.008556696,0.005376958],"category_scores_gemma":[0.08613952,0.00091326,0.0008359847,0.008138504,0.02300318,0.02361907,0.01305235,0.008510241,0.003411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01009222,"about_ca_system_score_gemma":0.02045262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003275994,"about_ca_topic_score_gemma":0.001961065,"domain_scores_codex":[0.8838817,0.07006472,0.02009697,0.007758791,0.01407861,0.004119233],"domain_scores_gemma":[0.8910447,0.04992137,0.01772966,0.008879534,0.02315655,0.009268194],"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":[0.00003914047,0.0000385571,0.00230964,0.0003563347,0.000008740811,0.0003965322,0.02056688,0.0002045482,0.0007839255,0.9120417,0.03480525,0.02844883],"study_design_scores_gemma":[0.00001155302,0.00004700118,0.002037562,0.001191426,0.00001074473,0.001037647,0.01205064,0.000292464,0.0005569838,0.1320054,0.8506913,0.00006733475],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04062326,0.033757,0.4986206,0.1266391,0.01007916,0.00439047,0.001944283,0.0008572174,0.2830889],"genre_scores_gemma":[0.3510877,0.02163273,0.4559192,0.08105224,0.005863868,0.01006145,0.00330808,0.0009753969,0.07009929],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0856423,"threshold_uncertainty_score":0.4529252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3354106859810756,"score_gpt":0.5036578154055444,"score_spread":0.1682471294244688,"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."}}