{"id":"W2531235254","doi":"10.1534/genetics.116.192096","title":"Taking Exception to Human Eugenics","year":2016,"lang":"en","type":"letter","venue":"Genetics","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Canadian Institute for Advanced Research","funders":"","keywords":"Eugenics; Scholarship; Exceptionalism; Genetics; Biology; Human genetics; Reading (process); Genealogy; Sociology; Environmental ethics; Law; Political science; Gene; History; Philosophy; Politics","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"],"consensus_categories":[],"category_scores_codex":[0.0001121533,0.0003241258,0.0001985635,0.000113132,0.0001253817,0.00005012466,0.0005015443,0.0009665368,0.0002573386],"category_scores_gemma":[0.00003912237,0.0003196743,0.0001429441,0.00009594703,0.00007143892,0.000001149083,0.0002757791,0.0003444102,0.0002668875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001460047,"about_ca_system_score_gemma":0.0001939354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000378568,"about_ca_topic_score_gemma":0.00004239319,"domain_scores_codex":[0.9981914,0.00006752263,0.0003039088,0.0006813556,0.000282838,0.000473036],"domain_scores_gemma":[0.998555,0.000009129893,0.000210401,0.0009730848,0.0001802961,0.00007205488],"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":[0.000003098186,0.000003565786,0.00005832643,0.00002220805,0.00005368185,0.000007413177,0.00002635361,0.00005891369,0.1850909,0.000003336253,0.8029558,0.01171646],"study_design_scores_gemma":[0.0001724948,0.0001480146,0.0001849557,0.00003428414,0.00004365257,0.00001432412,0.000004022986,0.000001513804,0.05455479,0.0001981161,0.9442063,0.0004375556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1179405,0.005097473,0.04671102,0.8048087,0.006246336,0.002152922,0.001034757,0.0001791933,0.01582911],"genre_scores_gemma":[0.05820259,0.0004482729,0.00784689,0.8602194,0.04593546,0.00026358,0.002166993,0.0003722747,0.02454452],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1412505,"threshold_uncertainty_score":0.9999256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02582636505580093,"score_gpt":0.3071408402092866,"score_spread":0.2813144751534856,"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."}}