{"id":"W2375324803","doi":"","title":"HEALTHY CITY PROGRAM: EXPERIENCE AND LESSONS IN CANADA","year":2007,"lang":"en","type":"article","venue":"Chengshi guihua","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urbanization; Urban planning; Geography; Environmental planning; Economic growth; Political science; Engineering; Civil engineering","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":[0.002126848,0.0004259155,0.0004616582,0.001340079,0.02668803,0.005415446,0.002698267,0.001671385,0.007655199],"category_scores_gemma":[0.004235286,0.0004165233,0.0003570018,0.005574623,0.005040658,0.001778381,0.005047574,0.002855002,0.0006620046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0960084,"about_ca_system_score_gemma":0.221939,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942384,"about_ca_topic_score_gemma":0.9984629,"domain_scores_codex":[0.9963681,0.0004887234,0.00005969465,0.0001663108,0.001013876,0.001903339],"domain_scores_gemma":[0.9925251,0.0004253198,0.0001680116,0.0001114382,0.00177173,0.0049984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0005194421,0.002606221,0.1190512,0.0006083139,0.00005997411,0.005839494,0.3348428,0.0008183987,0.0009449421,0.02684078,0.2023796,0.3054888],"study_design_scores_gemma":[0.00007722361,0.0003444192,0.1128083,0.0003853128,0.00004149743,0.0006748323,0.471609,0.0006924765,0.0004315628,0.001490099,0.4113005,0.0001447709],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7843874,0.00507324,0.0006906391,0.06673376,0.0006245971,0.0005267943,0.002329992,0.0001678299,0.1394657],"genre_scores_gemma":[0.9024042,0.006485294,0.001422788,0.007262803,0.00009511655,0.0001270407,0.001186476,0.0001461162,0.0808702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0960084,"threshold_uncertainty_score":0.6965929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06655155403408008,"score_gpt":0.3503838676236747,"score_spread":0.2838323135895946,"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."}}