{"id":"W2601375061","doi":"","title":"Eugenics and public health [1] (multiple letters)","year":2003,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Eugenics; Public health; Environmental health; Medicine; Gerontology; Political science; Law; Pathology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.004814116,0.00208591,0.002530062,0.002029771,0.00579277,0.009006654,0.003461441,0.07336388,0.03168705],"category_scores_gemma":[0.03994066,0.001275651,0.002317426,0.002123646,0.005181971,0.003900384,0.002744544,0.03392199,0.01288359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005290535,"about_ca_system_score_gemma":0.004172762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02718256,"about_ca_topic_score_gemma":0.05923199,"domain_scores_codex":[0.9946358,0.0008847346,0.0003791308,0.0007861978,0.002730193,0.0005839259],"domain_scores_gemma":[0.9731631,0.01826216,0.001112776,0.001246384,0.004731063,0.001484685],"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":[0.0000159314,0.00001303899,0.00008046839,0.00003133381,0.00001333204,0.00009713017,0.00002222408,0.00002874028,0.00004840983,0.004766027,0.9917285,0.003154838],"study_design_scores_gemma":[0.00007023686,0.00002006833,0.001513819,0.0002133619,0.00003647787,0.0001155563,0.00009560096,0.0001500434,0.0001222939,0.006389355,0.9912226,0.00005055924],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002560452,0.005308707,0.0001625929,0.8518785,0.1201727,0.00002741642,0.0001780505,0.00004576383,0.02197027],"genre_scores_gemma":[0.003475965,0.002726034,0.0002357396,0.7826545,0.1524654,0.00004559739,0.0001049234,0.00006151777,0.05823041],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9942072,"threshold_uncertainty_score":0.1060038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03203776661327724,"score_gpt":0.3156799430097585,"score_spread":0.2836421763964813,"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."}}