{"id":"W2156072322","doi":"10.1093/heapol/czl013","title":"Outpatient care utilization in urban Kerala, India","year":2006,"lang":"en","type":"article","venue":"Health Policy and Planning","topic":"Social and Economic Development in India","field":"Social Sciences","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut National de Santé Publique du Québec","funders":"Canadian Institutes of Health Research","keywords":"Casual; Health care; Inequality; Business; Public health; Socioeconomics; Environmental health; Private sector; Survey sampling; Developing country; Medicine; Geography; Population; Economic growth; Nursing; Political science; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003025225,0.00005404977,0.00009893427,0.0001196352,0.000491225,0.00003368771,0.00004222185,0.0000730488,0.00001692847],"category_scores_gemma":[0.00006813705,0.00006042573,0.00001022179,0.0001766058,0.0000416429,0.00008541685,0.00001163006,0.00007549732,0.000008051105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002568031,"about_ca_system_score_gemma":0.0004277374,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05847498,"about_ca_topic_score_gemma":0.004088662,"domain_scores_codex":[0.9992294,0.00008703006,0.0001870398,0.0001099512,0.00007337306,0.0003131935],"domain_scores_gemma":[0.9997385,0.00006940404,0.00007309236,0.00003013819,0.00001358998,0.00007527377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003539176,0.00000781024,0.7366617,0.00002517669,9.353761e-7,0.000001090872,0.2294547,0.00002122495,6.803709e-8,0.02391769,0.004118514,0.005787508],"study_design_scores_gemma":[0.0001982436,0.00001782502,0.7209208,0.00006582506,5.711186e-7,1.996567e-7,0.02276839,0.00001046691,0.000001220829,0.001918228,0.2539993,0.00009894565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9090132,0.001238356,0.000007921077,0.002269749,0.0003421073,0.0002174352,0.00001134576,0.00003966118,0.08686029],"genre_scores_gemma":[0.9969794,0.0001117972,0.00007468653,0.001627119,0.0006481173,0.00000990699,0.00004027217,0.000004215401,0.0005045217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2498808,"threshold_uncertainty_score":0.9477947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06904100670033035,"score_gpt":0.3797287617592309,"score_spread":0.3106877550589006,"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."}}