{"id":"W3198236323","doi":"10.1016/j.tig.2021.08.004","title":"The Genetic Discrimination Observatory: confronting novel issues in genetic discrimination","year":2021,"lang":"en","type":"article","venue":"Trends in Genetics","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University and Génome Québec Innovation Centre; University of Toronto; McGill University Health Centre; St. Michael's Hospital; McGill University","funders":"NordForsk; Fondation du cancer du sein du Québec","keywords":"Genetic discrimination; Biology; Observatory; Profiling (computer programming); Evolutionary biology; Genetic data; Genetics; Genetic testing; Computer science; Sociology; Astronomy; Population; Demography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.1471528,0.0004137091,0.0006550464,0.001867909,0.01198025,0.008600545,0.002362873,0.006584027,0.006796975],"category_scores_gemma":[0.2027674,0.0005070369,0.0004064274,0.001311088,0.0261566,0.01006113,0.01083834,0.01483354,0.0004881179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004595787,"about_ca_system_score_gemma":0.01835534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003280294,"about_ca_topic_score_gemma":0.004210441,"domain_scores_codex":[0.9104033,0.07533439,0.00160405,0.002530453,0.007316373,0.002811491],"domain_scores_gemma":[0.7436613,0.2203403,0.005036967,0.009299959,0.01036024,0.01130115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001758097,0.0001742667,0.01097689,0.0002836592,0.00003297999,0.00137511,0.08607715,0.0006270175,0.001314086,0.6400788,0.0628752,0.196009],"study_design_scores_gemma":[0.0001081211,0.0002308724,0.006435393,0.0009094771,0.00002304082,0.001722695,0.1211169,0.00588469,0.001247571,0.6274809,0.234686,0.0001544052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06426032,0.001461873,0.15554,0.7314321,0.006139728,0.000269546,0.0000628133,0.0002089117,0.04062473],"genre_scores_gemma":[0.7862011,0.0009757633,0.1340451,0.06385627,0.002994943,0.0008922376,0.00004477549,0.0002069571,0.01078294],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1471528,"threshold_uncertainty_score":0.7782277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1761663632734356,"score_gpt":0.4498987810997622,"score_spread":0.2737324178263266,"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."}}