{"id":"W2950817575","doi":"10.1089/bio.2019.29053.mjb","title":"Biobank: What's in a Name?","year":2019,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"National Cancer Institute; Terry Fox Research Institute","keywords":"Biobank; Biology; Bioinformatics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001484078,0.00008424878,0.0001779934,0.0001625867,0.00003323881,0.0001201355,0.0001019668,0.0002526381,0.0004365918],"category_scores_gemma":[0.001092839,0.0000698237,0.00003842926,0.0002860398,0.00007827144,0.0003615184,0.000132487,0.0005778602,0.0001464395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004588041,"about_ca_system_score_gemma":0.00009758044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000126962,"about_ca_topic_score_gemma":0.0001237027,"domain_scores_codex":[0.9986999,0.00003616171,0.0002819836,0.0002993649,0.0004652317,0.0002173754],"domain_scores_gemma":[0.9988003,0.0006327863,0.00004892701,0.0002849592,0.0001523259,0.00008068832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001537528,0.0000944121,0.947339,0.0003021907,0.00001269825,0.00001483649,0.000242923,9.552795e-7,0.01474334,0.0188857,0.0001009163,0.0181093],"study_design_scores_gemma":[0.002406377,0.0003328274,0.9546854,0.001481056,0.00001065971,0.00001339726,0.000838916,0.002210802,0.002962797,0.018605,0.01625088,0.0002019142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840674,0.0009153648,0.00001637414,0.01073019,0.0001829174,0.0003431705,8.997781e-7,0.00003459259,0.003709095],"genre_scores_gemma":[0.9930776,0.002041418,0.000706651,0.001707298,0.00007370977,0.000008327648,0.00001304721,0.00001095931,0.00236097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01790738,"threshold_uncertainty_score":0.4780374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3459658466462067,"score_gpt":0.5139494308119801,"score_spread":0.1679835841657734,"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."}}