{"id":"W4200528849","doi":"10.3390/laws11010002","title":"Genetic Discrimination in Access to Life Insurance: Does Ukrainian Legislation Offer Sufficient Protection against the Adverse Consequences of the Genetic Revolution to Insurance Applicants?","year":2021,"lang":"en","type":"article","venue":"Laws","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Ukrainian; Legislation; Ratification; Business; Political science; Convention; Equity (law); Actuarial science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028223,0.0001319054,0.0001549442,0.00007319394,0.0001996231,0.0001088328,0.0008141203,0.00005714765,0.000009743472],"category_scores_gemma":[0.0003780429,0.00007172987,0.00005783254,0.001195632,0.0001693844,0.0003034177,0.0002769227,0.0001289015,0.00001311811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009942962,"about_ca_system_score_gemma":0.0001939081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004458324,"about_ca_topic_score_gemma":0.002117321,"domain_scores_codex":[0.9982818,0.0002968633,0.0003816297,0.0004211105,0.0003923555,0.0002262829],"domain_scores_gemma":[0.9989203,0.00005662331,0.0001334161,0.0005900948,0.000232926,0.00006668458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002282493,0.0007684513,0.09699544,0.0003609947,0.00005987281,0.00001512763,0.08666453,0.10973,0.4336887,0.004748947,0.00115368,0.265586],"study_design_scores_gemma":[0.0002787861,0.0001077032,0.9253311,0.0002094089,0.000005519043,0.000006271468,0.0002755259,0.02313441,0.04527463,0.0005475962,0.004598936,0.000230133],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9358636,0.0001237894,0.05671768,0.004840045,0.0005013394,0.001170429,0.000009347969,0.00003019734,0.0007435551],"genre_scores_gemma":[0.9969351,0.0000685035,0.001062907,0.001558351,0.00007151517,0.0002036334,0.000001101054,0.000007890317,0.00009102113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8283356,"threshold_uncertainty_score":0.2925059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03227386665468025,"score_gpt":0.2529881866025435,"score_spread":0.2207143199478632,"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."}}