{"id":"W2401395962","doi":"10.1089/bio.2015.0124","title":"Access Governance for Biobanks: The Case of the BioSHaRE-EU Cohorts","year":2016,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"European Commission","keywords":"Biobank; Corporate governance; Business; Political science; Biology; Bioinformatics; Finance","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":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.1685497,0.0002577556,0.0006122452,0.001894972,0.009653796,0.01985298,0.002932054,0.005659889,0.005270891],"category_scores_gemma":[0.1660347,0.0006139819,0.0009915673,0.003641086,0.01033688,0.0103444,0.01661842,0.005395731,0.0004536045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01290333,"about_ca_system_score_gemma":0.02306453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02818214,"about_ca_topic_score_gemma":0.0292504,"domain_scores_codex":[0.8672544,0.09169751,0.005944186,0.008204557,0.01281908,0.01408015],"domain_scores_gemma":[0.8474203,0.09049565,0.01415369,0.0233168,0.01000714,0.01460644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002370988,0.0001722479,0.09511736,0.0001039556,0.00008706428,0.001842679,0.03872431,0.001778479,0.0004346564,0.8131639,0.009801082,0.03853716],"study_design_scores_gemma":[0.0005417975,0.0004793079,0.1997033,0.001740236,0.0002156182,0.003396123,0.08961204,0.009174868,0.001967326,0.2767482,0.4160591,0.0003620858],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7587886,0.002548193,0.04113248,0.08393466,0.0004633651,0.001124883,0.0005342712,0.00017254,0.1113009],"genre_scores_gemma":[0.9741183,0.0003464794,0.009868884,0.005172777,0.0001695191,0.0005170087,0.0001718292,0.00006439178,0.009570825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9970679,"threshold_uncertainty_score":0.8913867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4471701126731822,"score_gpt":0.5383608775395341,"score_spread":0.09119076486635186,"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."}}