{"id":"W4396617856","doi":"10.17803/lexgen-2022-1-1-56-62","title":"Genetic Information in the Light of Genetic Discrimination: the Experience of Foreign States","year":2022,"lang":"en","type":"article","venue":"Lex genetica.","topic":"Digital Transformation in Law","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genetic discrimination; Genetics; Psychology; Biology; Genetic testing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002826781,0.00007895429,0.0001426746,0.0001268048,0.0000856408,0.00004018406,0.0005101835,0.00001986173,0.0003451305],"category_scores_gemma":[0.00002691414,0.0000622361,0.00005644606,0.0003808811,0.0001174609,0.0002338163,0.0000646777,0.00007737197,0.00002433129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002754209,"about_ca_system_score_gemma":0.00001394344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005376989,"about_ca_topic_score_gemma":0.000005854512,"domain_scores_codex":[0.9988368,0.00003199249,0.0007714138,0.0001015032,0.0001172208,0.0001410986],"domain_scores_gemma":[0.9992799,0.0000555414,0.0002886455,0.0003316359,0.0000288186,0.00001546929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002836769,0.0001729459,0.04181222,0.0001234812,0.00002544397,0.000001004236,0.06743027,0.04379563,0.00004820387,0.8376783,0.000623271,0.008260856],"study_design_scores_gemma":[0.001079554,0.0004964512,0.5358855,0.00001941069,0.00001553351,0.00002304305,0.02628395,0.02294612,0.001694903,0.2212821,0.189849,0.0004245433],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8936828,0.000991569,0.007779692,0.001146453,0.0001480009,0.0005572292,0.0001684138,0.000008816649,0.09551705],"genre_scores_gemma":[0.9987723,0.00008704903,0.0005919508,0.0002885648,0.00001131343,0.0001776539,0.00001461635,0.000006062884,0.00005050685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6163962,"threshold_uncertainty_score":0.3778937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016596324085793,"score_gpt":0.2099452000861683,"score_spread":0.1897792368453104,"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."}}