{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0203759,0.0007114103,0.001552132,0.0006787546,0.006644955,0.008588762,0.003260513,0.08568107,0.005168381],"category_scores_gemma":[0.0616631,0.0004862241,0.001479204,0.0006521915,0.02755382,0.01343901,0.008398117,0.09020591,0.003312443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006485307,"about_ca_system_score_gemma":0.01033984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006822184,"about_ca_topic_score_gemma":0.01248203,"domain_scores_codex":[0.9816695,0.006713526,0.001119339,0.002824028,0.005898209,0.001775449],"domain_scores_gemma":[0.9755014,0.01553754,0.00140783,0.001894491,0.002478562,0.003180159],"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":[0.00006658113,0.00005026526,0.0005494416,0.0001035103,0.00002717253,0.001011353,0.001435988,0.0001881364,0.0003477327,0.2265088,0.7475019,0.02220915],"study_design_scores_gemma":[0.00004934874,0.00004315314,0.0003760688,0.0004168896,0.00001446454,0.0005057178,0.0009977014,0.0002793411,0.0002589697,0.1829559,0.8140433,0.00005923539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003471649,0.001873832,0.000292109,0.9826246,0.009356634,0.000004015151,0.00001410575,0.00001868858,0.00546887],"genre_scores_gemma":[0.006492394,0.0006059,0.0003122882,0.9785458,0.009699767,0.0000130992,0.00001020593,0.00001820615,0.004302432],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08568107,"threshold_uncertainty_score":0.1077593,"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."}}