{"id":"W2595658265","doi":"","title":"Health Care in Canada to Overcome Income Inequality","year":2016,"lang":"en","type":"article","venue":"Journal of Legal Ethical and Regulatory Issues","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic inequality; Inequality; Economics; Demographic economics; Income distribution; Income inequality metrics; Development economics","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":[0.0009615155,0.00006877467,0.0002689721,0.00006119557,0.0001283182,0.00002442939,0.0001503191,0.0001130067,0.00003203643],"category_scores_gemma":[0.000440979,0.00004516541,0.00003717861,0.0001422777,0.0001543099,0.0001470637,0.00002565879,0.0003634139,0.00000122214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001163716,"about_ca_system_score_gemma":0.004716681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9857131,"about_ca_topic_score_gemma":0.9980976,"domain_scores_codex":[0.9984829,0.0002888007,0.0003567179,0.00009565942,0.0005176853,0.0002581926],"domain_scores_gemma":[0.9989907,0.0001751657,0.0001607154,0.00007952298,0.00009984134,0.0004940975],"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":[0.0005012735,0.00005825602,0.13823,0.0002766031,0.00006214922,0.0004680561,0.1140566,0.00002654449,0.0003087501,0.4193307,0.213925,0.1127562],"study_design_scores_gemma":[0.0002180413,0.00007129387,0.259889,0.0002065894,0.0000013645,0.000005858701,0.0009208272,1.174156e-7,0.000022633,0.001113031,0.7374769,0.00007423199],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.598918,0.001341473,0.000002941384,0.3992752,0.0001789517,0.00004157747,0.00003126973,0.000001988245,0.0002085785],"genre_scores_gemma":[0.9840692,0.0002460386,0.00004714815,0.01443802,0.000405692,4.470221e-7,6.679876e-8,0.000003810735,0.0007896371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.523552,"threshold_uncertainty_score":0.8367189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01563873283441302,"score_gpt":0.3345508405722317,"score_spread":0.3189121077378186,"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."}}