{"id":"W4234816465","doi":"10.1002/hast.201","title":"Demystifying Biobanks","year":2013,"lang":"en","type":"letter","venue":"The Hastings Center Report","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Biobank; Political science; Medicine; Biology; Bioinformatics","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":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0505739,0.0007783701,0.001108139,0.001100547,0.01735953,0.0146634,0.00489628,0.09836408,0.006204776],"category_scores_gemma":[0.1059776,0.001068177,0.00152297,0.001142662,0.01426206,0.01355169,0.009954509,0.07431319,0.003684478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01481028,"about_ca_system_score_gemma":0.03963682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03516077,"about_ca_topic_score_gemma":0.06433999,"domain_scores_codex":[0.9523054,0.01886096,0.003517049,0.004994319,0.01324125,0.007080925],"domain_scores_gemma":[0.9378678,0.03634375,0.003339959,0.003118539,0.01017224,0.00915776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003289615,0.00001921181,0.0002984309,0.00005282822,0.00000865911,0.0005749601,0.00170968,0.00004626411,0.0002584197,0.03860325,0.953448,0.004947366],"study_design_scores_gemma":[0.00005113787,0.00002835512,0.0005260965,0.0002785606,0.00001462143,0.0003135776,0.002029212,0.000181634,0.0004171308,0.02417893,0.9719269,0.00005378778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000403817,0.000582125,0.0002304031,0.9878549,0.007139551,0.00001899902,0.00002835181,0.00002332441,0.003718495],"genre_scores_gemma":[0.003276265,0.0002170787,0.0002307528,0.9863581,0.003225117,0.00003863186,0.0000154065,0.00002760758,0.006610989],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9826404,"threshold_uncertainty_score":0.2674636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5337472294956795,"score_gpt":0.531936955129234,"score_spread":0.001810274366445541,"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."}}