{"id":"W2006596180","doi":"10.1038/ejhg.2015.43","title":"Exposing participants? Population biobanks go geo","year":2015,"lang":"en","type":"letter","venue":"European Journal of Human Genetics","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Medical Research Council; European Commission","keywords":"Biobank; Population; Biorepository; Genetics; Biology; Medicine; 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":[0.01184379,0.0005261166,0.0009066568,0.0006795333,0.005362373,0.003565152,0.001657957,0.04989838,0.01444288],"category_scores_gemma":[0.06469021,0.0007312926,0.0009282243,0.0005703897,0.003609457,0.006048224,0.005179,0.0302663,0.006735981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002266031,"about_ca_system_score_gemma":0.00548399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005688512,"about_ca_topic_score_gemma":0.008353795,"domain_scores_codex":[0.9948026,0.002544139,0.0006709773,0.0005069366,0.00088987,0.0005854578],"domain_scores_gemma":[0.9633597,0.02427949,0.001740961,0.002111346,0.00225304,0.006255377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004018525,0.00004656088,0.001727823,0.00004836462,0.00001218293,0.001380111,0.0005861014,0.00002509296,0.0001341835,0.003755514,0.9806722,0.01157168],"study_design_scores_gemma":[0.0001442992,0.00008462972,0.002676217,0.0006780975,0.0000463477,0.001527322,0.002316448,0.0002397591,0.0002389903,0.02094801,0.9710345,0.00006539503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003957935,0.0002995444,0.0001467224,0.9897184,0.0076093,0.00001237501,0.00004416073,0.00003009904,0.001743553],"genre_scores_gemma":[0.003239336,0.0003980221,0.0002278025,0.9801957,0.01155695,0.0000652781,0.00002802207,0.00001676952,0.00427209],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04989838,"threshold_uncertainty_score":0.06263667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0763505606897229,"score_gpt":0.294784501189696,"score_spread":0.2184339404999731,"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."}}