{"id":"W4317566496","doi":"10.15760/etd.8083","title":"Impact of Universal Health Coverage on Health in Late Life","year":2006,"lang":"en","type":"dissertation","venue":"","topic":"Global Health Care Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gerontology; Public health; Population ageing; Healthy aging; Health care; Medicine; Population; Psychology; Environmental health; Economic growth; Nursing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001645942,0.0001800993,0.0003381733,0.0007777346,0.0007810277,0.0007695268,0.0005310446,0.000455814,0.003569619],"category_scores_gemma":[0.008033537,0.00008756835,0.0008305245,0.0009539415,0.0004929939,0.0005257895,0.001348052,0.0006286612,0.0001339278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004410779,"about_ca_system_score_gemma":0.006450898,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5670483,"about_ca_topic_score_gemma":0.7185239,"domain_scores_codex":[0.9981749,0.0002940583,0.0000658898,0.00008353196,0.0005030912,0.0008784981],"domain_scores_gemma":[0.9953945,0.0006741071,0.0009698407,0.0001580598,0.001243468,0.001560063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000568962,0.000209658,0.893846,0.0003475688,0.000377849,0.0003190199,0.0007363206,0.000619951,0.0004523106,0.001418956,0.004111865,0.09699152],"study_design_scores_gemma":[0.000007868764,0.00009299435,0.996482,0.0001204215,0.00008946523,0.00006957188,0.0003638993,0.0001285906,0.00006442212,0.0001227593,0.00245214,0.000005859084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9546912,0.01347423,0.0001915451,0.005751868,0.0001291357,0.00007584455,0.005051223,0.00003771261,0.02059716],"genre_scores_gemma":[0.9963804,0.001601511,0.00009648161,0.0005741739,0.00004189502,0.00001070175,0.0005554681,0.00000204945,0.0007372561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5670483,"threshold_uncertainty_score":0.8710029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03843116711342553,"score_gpt":0.4883459994908402,"score_spread":0.4499148323774146,"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."}}