{"id":"W2954625409","doi":"10.82308/3486","title":"Partnered for health: How health interacts with partnership and how policy manages health inequality","year":2011,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General partnership; Context (archaeology); Life expectancy; Inequality; Health policy; Life course approach; Incentive; Health care; Public economics; Demographic economics; Political science; Psychology; Economics; Social psychology; Sociology; Economic growth; Population; Demography; Geography","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":[0.00572382,0.0003140416,0.0005695196,0.001630743,0.00473296,0.009469128,0.001141252,0.001777238,0.014605],"category_scores_gemma":[0.01204635,0.000353405,0.0005468852,0.001915276,0.007551736,0.007033242,0.01032024,0.001795694,0.0006392819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006221982,"about_ca_system_score_gemma":0.009017748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04354364,"about_ca_topic_score_gemma":0.04794558,"domain_scores_codex":[0.9919343,0.005273811,0.00009523484,0.0005201421,0.0003214743,0.001854988],"domain_scores_gemma":[0.9942674,0.002689437,0.0005715194,0.0003324274,0.0003407854,0.001798523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002559288,0.0002577367,0.1613078,0.0003960621,0.0002452576,0.0007035027,0.06058191,0.002051069,0.0004436092,0.634824,0.009646553,0.1292866],"study_design_scores_gemma":[0.00009516504,0.0002688954,0.1713845,0.001602913,0.0002289303,0.0004763828,0.1337255,0.003806899,0.0004153662,0.5249763,0.1629076,0.0001114986],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4888253,0.01677798,0.01719831,0.1572891,0.0005559835,0.0001654121,0.0008830979,0.0001001565,0.3182046],"genre_scores_gemma":[0.9918118,0.002049168,0.0006956535,0.001328521,0.00005941855,0.00004113884,0.00005536385,0.00001931923,0.003939665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04354364,"threshold_uncertainty_score":0.0865804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1583984231163918,"score_gpt":0.4119306393989722,"score_spread":0.2535322162825804,"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."}}