{"id":"W4243477039","doi":"10.1136/jmg.39.4.259","title":"Gene carriers face other risks","year":2002,"lang":"en","type":"article","venue":"Journal of Medical Genetics","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Memorial University of Newfoundland; University of Aberdeen","keywords":"Face (sociological concept); Gene; Genetics; Computational biology; Biology; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002864171,0.0004792177,0.0003761139,0.0005826334,0.0008516825,0.0005863335,0.0003112683,0.001122068,0.0125087],"category_scores_gemma":[0.002070326,0.0001141321,0.0003043755,0.0006237497,0.0004842544,0.0003762114,0.0004062744,0.000517025,0.00161425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002063609,"about_ca_system_score_gemma":0.0004516394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003027944,"about_ca_topic_score_gemma":0.001675059,"domain_scores_codex":[0.9995938,0.0000694635,0.0000202751,0.0001070197,0.00008284362,0.0001266606],"domain_scores_gemma":[0.9993684,0.0001827443,0.0002371279,0.00004460751,0.00006569611,0.0001016117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004153232,0.0002165329,0.8111424,0.0002276986,0.0001751289,0.09016763,0.001201104,0.0002531171,0.00645367,0.007450306,0.01111655,0.07118066],"study_design_scores_gemma":[0.0001286245,0.0008030182,0.4721649,0.0006420039,0.000421793,0.4447311,0.002885702,0.0006855653,0.003416527,0.01034388,0.06370344,0.0000734732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9513434,0.00621862,0.002096473,0.005023286,0.0003183923,0.00006916035,0.00123695,0.0001246133,0.03356918],"genre_scores_gemma":[0.9865036,0.002775978,0.0009704435,0.0009250393,0.0002726565,0.00003518721,0.0004856696,0.00002134033,0.008010058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0125087,"threshold_uncertainty_score":0.04184574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04157337811912974,"score_gpt":0.3110917054445398,"score_spread":0.2695183273254101,"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."}}