{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002433615,0.000356319,0.0004022864,0.0001334419,0.0002178375,0.0001070071,0.000621434,0.0001470397,0.0009467784],"category_scores_gemma":[0.00009809556,0.0003423294,0.000150077,0.000111063,0.0002058233,0.0001653468,0.0003097171,0.001741345,0.001263816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005320507,"about_ca_system_score_gemma":0.00002682618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001491769,"about_ca_topic_score_gemma":0.000007365401,"domain_scores_codex":[0.9955921,0.001144659,0.001105652,0.0004397433,0.001050542,0.0006672884],"domain_scores_gemma":[0.9978718,0.00004810461,0.001249915,0.0005035136,0.00003491245,0.0002917444],"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":[0.00001217157,0.00007558881,0.01627018,0.00004749481,0.00006787072,0.00295235,0.001339367,0.0009419722,0.003405479,8.293705e-7,0.9404145,0.0344722],"study_design_scores_gemma":[0.00069462,0.000699484,0.1501135,0.000238313,0.0002103077,0.0001769265,0.00006697637,0.00007498088,0.0002550498,0.0002126016,0.8466499,0.0006073608],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9465164,0.0008921974,0.001004298,0.02744197,0.001021915,0.0004376878,0.00002436695,0.00004006655,0.0226211],"genre_scores_gemma":[0.7899936,0.0002836124,0.005035599,0.1944118,0.007572842,0.00000220373,0.0001125242,0.0003806932,0.002207072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1669699,"threshold_uncertainty_score":0.9999665,"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."}}