{"id":"W3200945983","doi":"10.2139/ssrn.3920622","title":"Confronting New Issues in Genetic Discrimination","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Work & Health; McGill University; University of Toronto; McGill University and Génome Québec Innovation Centre","funders":"","keywords":"Genetic discrimination; Political science; Biology; Genetic testing; Genetics","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":[0.1374494,0.0004657841,0.001146554,0.002349462,0.007532943,0.008962788,0.003775641,0.01216713,0.009363038],"category_scores_gemma":[0.2101946,0.0005103318,0.0005607896,0.001845652,0.03711676,0.01588908,0.009455814,0.01542158,0.0007328287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003217634,"about_ca_system_score_gemma":0.007262066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001675757,"about_ca_topic_score_gemma":0.003409666,"domain_scores_codex":[0.9308543,0.05614977,0.001344604,0.002608962,0.007244924,0.001797408],"domain_scores_gemma":[0.7393754,0.2374275,0.003398221,0.005669652,0.009704984,0.004424217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009736263,0.0001527847,0.003861998,0.0004385131,0.00005062947,0.001618208,0.03538079,0.001382801,0.0003222486,0.7036141,0.03483727,0.2182432],"study_design_scores_gemma":[0.00005614125,0.00009367128,0.001297621,0.001028379,0.00001780841,0.001380909,0.04060394,0.003335972,0.0002321426,0.8864799,0.06541481,0.00005881594],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03599983,0.004995031,0.08561665,0.8262784,0.004644204,0.00009621316,0.00003315049,0.00007250254,0.04226406],"genre_scores_gemma":[0.7600083,0.006057158,0.09691273,0.1170856,0.007563257,0.0006118143,0.00004025156,0.0001710377,0.01154979],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1374494,"threshold_uncertainty_score":0.7269106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05390812675904041,"score_gpt":0.4222555488204355,"score_spread":0.3683474220613951,"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."}}