{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001176568,0.0001556266,0.0001796524,0.0002435432,0.0003586605,0.0002454701,0.0005827117,0.0001672226,0.0000791978],"category_scores_gemma":[0.000665371,0.0001479402,0.00005766471,0.001212496,0.0003627254,0.0001032946,0.0001880256,0.0002884597,0.000008804442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003178115,"about_ca_system_score_gemma":0.0002172367,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001493854,"about_ca_topic_score_gemma":0.05964813,"domain_scores_codex":[0.9972311,0.0004708441,0.0004775776,0.0003944939,0.0008183225,0.0006076485],"domain_scores_gemma":[0.9988567,0.0003018756,0.0001095831,0.0004303218,0.0002183727,0.00008318631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001626303,0.0003383295,0.1810492,0.00004232203,0.0000160274,0.00008674298,0.02344735,0.0008936696,0.005533958,0.01366657,0.002460189,0.7724494],"study_design_scores_gemma":[0.000423508,0.00004234792,0.9315526,0.00008046458,0.00001570041,0.000002976582,0.01163066,0.005843016,0.002627868,0.005126521,0.04235636,0.0002979292],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9583073,0.007263814,0.001978196,0.01504223,0.0006542523,0.0004258573,0.00001298122,0.0001097328,0.01620561],"genre_scores_gemma":[0.9760539,0.002895467,0.01578072,0.00006731127,0.0001959566,0.00009347809,0.00001726314,0.00003083925,0.004865057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7721515,"threshold_uncertainty_score":0.9575108,"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."}}