{"id":"W2366057959","doi":"","title":"Experiences and implications of public health services equalization in Canada and Australia","year":2010,"lang":"en","type":"article","venue":"Chinese Journal of Health Policy","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Equity (law); Equalization (audio); Public health; China; Business; Service (business); Health services; Public service; Economic growth; Public economics; Public relations; Public administration; Political science; Economics; Marketing; Environmental health; Medicine; Computer science; Telecommunications; Population; Law; Nursing","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":[0.00351499,0.000255753,0.000464551,0.001304578,0.02609876,0.004287033,0.001645888,0.001745745,0.003084999],"category_scores_gemma":[0.008471253,0.0003555744,0.0003251744,0.003792848,0.007930315,0.002138663,0.007994371,0.003789428,0.00008935896],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06988903,"about_ca_system_score_gemma":0.1532865,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9459627,"about_ca_topic_score_gemma":0.9699812,"domain_scores_codex":[0.9897127,0.002543293,0.0002241416,0.0003110697,0.002416916,0.004791904],"domain_scores_gemma":[0.9928884,0.001002656,0.0005197607,0.000118191,0.001682191,0.003788849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001239259,0.0002039031,0.03799675,0.0003557836,0.00003470483,0.00704532,0.84724,0.0004313745,0.000982882,0.03826568,0.01679444,0.05052524],"study_design_scores_gemma":[0.00001479222,0.00006753105,0.03575909,0.0002857205,0.00001541219,0.0006406123,0.8528296,0.0002222884,0.0003373891,0.001424041,0.1083267,0.00007677241],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.89377,0.003491135,0.0002533501,0.04398346,0.0002358525,0.00008466433,0.00008544709,0.00001361002,0.05808244],"genre_scores_gemma":[0.9866644,0.002182532,0.0001732621,0.002769848,0.00002453974,0.00002603725,0.00002616478,0.000006851962,0.008126212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.930111,"threshold_uncertainty_score":0.5070828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09769394637609644,"score_gpt":0.5192466847793415,"score_spread":0.4215527384032451,"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."}}