{"id":"W2005572712","doi":"10.1089/bio.2011.0018","title":"The Human Face of Biobank Networks for Translational Research","year":2011,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"CancerCare Manitoba; BC Cancer Agency","funders":"","keywords":"Biobank; Translational research; Face (sociological concept); Biorepository; Computational biology; Biology; Bioinformatics; Biotechnology; Sociology","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":[0.07291774,0.0006469209,0.0007540855,0.002183379,0.02117637,0.03964512,0.003284912,0.01168002,0.02419548],"category_scores_gemma":[0.08448033,0.0008921301,0.0007937949,0.002342671,0.03966427,0.03739125,0.0268212,0.0161517,0.004241434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008677389,"about_ca_system_score_gemma":0.01886887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001881872,"about_ca_topic_score_gemma":0.002956739,"domain_scores_codex":[0.9086483,0.07550549,0.0015383,0.00304184,0.007868825,0.003397231],"domain_scores_gemma":[0.8758379,0.08998,0.007145687,0.007099315,0.00526585,0.01467128],"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":[0.00006409978,0.00002776555,0.001193863,0.0004226976,0.00002550627,0.0007339873,0.02484497,0.000317666,0.0002653277,0.8195143,0.08635817,0.06623173],"study_design_scores_gemma":[0.00001599237,0.00003785461,0.0004697666,0.001082888,0.00001497054,0.000737278,0.02385103,0.000253809,0.0001258184,0.2926564,0.6807188,0.00003540735],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.008631912,0.02466307,0.03305921,0.7344732,0.009790981,0.0001367769,0.0001181544,0.0002079338,0.1889188],"genre_scores_gemma":[0.627699,0.05126009,0.04746937,0.1745042,0.0183686,0.001592038,0.0003184831,0.0007262048,0.07806206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07291774,"threshold_uncertainty_score":0.3856305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7982350347568402,"score_gpt":0.5941375488888387,"score_spread":0.2040974858680015,"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."}}