{"id":"W3122227126","doi":"","title":"\"What About Your Genes?\" Ethical, Legal, and Policy Dimensions of Genetics in the Workplace","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Harm; Genetic testing; Rationality; Genetic discrimination; Variety (cybernetics); Political science; Psychology; Law; Genetics; Biology; Computer science","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":[0.02883947,0.0003645571,0.0004408674,0.0007770916,0.007993951,0.006819994,0.001167992,0.01602889,0.002357643],"category_scores_gemma":[0.04324478,0.0003021467,0.0002964072,0.0006960058,0.04824747,0.006604898,0.003959755,0.008660636,0.0006558842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003342589,"about_ca_system_score_gemma":0.009073754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005132326,"about_ca_topic_score_gemma":0.004441665,"domain_scores_codex":[0.9660838,0.02586218,0.0009032103,0.001596347,0.004322353,0.001232178],"domain_scores_gemma":[0.9586968,0.03420241,0.001944948,0.001257018,0.002431168,0.001467561],"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":[0.00001024223,0.00002580599,0.0007609476,0.00004388306,0.000004007018,0.0002360804,0.008855067,0.0001782899,0.0002875879,0.9583976,0.0198012,0.01139928],"study_design_scores_gemma":[0.00002014206,0.00003597627,0.0008664483,0.0003767113,0.000009313465,0.0004712826,0.00828987,0.0004076546,0.0003409501,0.8109916,0.1781505,0.00003963815],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01165066,0.007468622,0.006758779,0.8962648,0.001229307,0.0000338384,0.00002370679,0.00001911857,0.07655127],"genre_scores_gemma":[0.6272909,0.008868696,0.01184608,0.3208223,0.003032686,0.0002089516,0.00002747682,0.00003728485,0.02786569],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02883947,"threshold_uncertainty_score":0.1525195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02211795985262717,"score_gpt":0.323009525870622,"score_spread":0.3008915660179948,"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."}}