{"id":"W588177584","doi":"10.82308/48441","title":"Genetic information and insurance : a contextual analysis of legal and regulatory means of promoting just distributions","year":2003,"lang":"en","type":"book","venue":"Open MIND","topic":"International Environmental Law and Policies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Actuarial science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006787537,0.0005001792,0.0006342406,0.003936415,0.009859012,0.0127927,0.002210529,0.004185516,0.004971922],"category_scores_gemma":[0.01256432,0.0005771742,0.0008879331,0.003325625,0.03974815,0.008921492,0.005692756,0.00407845,0.0002192779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02133637,"about_ca_system_score_gemma":0.01546027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.085639,"about_ca_topic_score_gemma":0.09318733,"domain_scores_codex":[0.9915954,0.004835895,0.0002303506,0.0006340725,0.001577416,0.00112689],"domain_scores_gemma":[0.9884402,0.008722857,0.000753533,0.000566472,0.001075314,0.0004416264],"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":[0.000005205233,0.000005908559,0.000256474,0.00001622151,0.000002240889,0.00009525652,0.003508008,0.0003121858,0.00005426197,0.9942572,0.0002966489,0.001190326],"study_design_scores_gemma":[0.00003282431,0.00003772712,0.002557333,0.0005280049,0.00005468838,0.0002842595,0.02536101,0.002988423,0.000547263,0.8565583,0.1109836,0.000066691],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1310295,0.009622367,0.1076025,0.08153588,0.0005165185,0.0003514565,0.0003547252,0.0001061549,0.6688809],"genre_scores_gemma":[0.9729911,0.002743895,0.01552066,0.00246271,0.000182924,0.0001536726,0.00006920283,0.00004611934,0.005829767],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.085639,"threshold_uncertainty_score":0.1702811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0107868783321015,"score_gpt":0.2364284905499854,"score_spread":0.2256416122178839,"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."}}