{"id":"W3002440306","doi":"10.1002/hec.3996","title":"Social connections and tertiary health‐care utilization","year":2020,"lang":"en","type":"article","venue":"Health Economics","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Growth Centre","keywords":"Tertiary care; Quarter (Canadian coin); Health care; Caste; Business; Public economics; Actuarial science; Medicine; Economics; Economic growth; Family medicine; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006216173,0.00008059187,0.0002454538,0.00002452424,0.0002645315,0.00001199055,0.0000247458,0.00004575437,0.00003076362],"category_scores_gemma":[0.000009386162,0.00008253218,0.00002968346,0.00004297636,0.00002422283,0.00004381812,0.00002240799,0.0001157568,0.00003130577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001779777,"about_ca_system_score_gemma":0.0004184757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002477514,"about_ca_topic_score_gemma":0.0001054847,"domain_scores_codex":[0.9992297,0.00002903082,0.0002942076,0.0001901343,0.00003121761,0.0002257563],"domain_scores_gemma":[0.9993978,0.000009445186,0.0001081937,0.00005669341,0.00002396503,0.0004039494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008866944,0.0002879545,0.3359362,0.0121612,0.0001360845,0.00001239574,0.04745856,0.00003908737,0.00001224853,0.07735489,0.1499681,0.3757466],"study_design_scores_gemma":[0.002267966,0.0009748368,0.4705842,0.00008335515,0.00001534394,0.00007407482,0.00276208,0.001322471,0.00001650462,0.0003980403,0.5213189,0.0001822552],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5837203,0.002519393,0.00009452581,0.4120061,0.0001522241,0.0004766727,0.00005567476,0.00009117715,0.0008840106],"genre_scores_gemma":[0.8364723,0.00190692,0.0002042504,0.16089,0.0004249106,0.000005576227,0.00006510921,0.00001257574,0.00001833064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3755644,"threshold_uncertainty_score":0.3365565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05921980789742933,"score_gpt":0.3394038249393,"score_spread":0.2801840170418707,"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."}}