{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000576556,0.0001593769,0.0001951245,0.000959277,0.0005076361,0.001163559,0.0003691628,0.000331802,0.009884923],"category_scores_gemma":[0.006629202,0.0001166843,0.0002595826,0.00101926,0.0005178201,0.0005178867,0.001360688,0.0006050368,0.000290868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008076825,"about_ca_system_score_gemma":0.0003458468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01273425,"about_ca_topic_score_gemma":0.01355532,"domain_scores_codex":[0.9992197,0.0003186662,0.00004385437,0.0000736708,0.000148815,0.0001953375],"domain_scores_gemma":[0.9924482,0.002629826,0.003023466,0.0002798617,0.0003208789,0.001297691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004371839,0.0001282881,0.9930899,0.00001400283,0.00006289579,0.0001236566,0.0006315822,0.0005794246,0.0001062193,0.001120931,0.0002433291,0.003856145],"study_design_scores_gemma":[0.000004148148,0.00003722554,0.9950784,0.0000228406,0.00001923068,0.0001156086,0.001915536,0.00162118,0.00006493204,0.000613605,0.0005019792,0.000005343418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966061,0.00006779631,0.0001197269,0.0003081862,0.000004175426,0.000007009641,0.0001665357,0.000002852584,0.002717499],"genre_scores_gemma":[0.9997248,0.00002316137,0.00001479547,0.000007377158,0.000004519839,0.00000189091,0.00004025589,5.965729e-7,0.0001825696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01273425,"threshold_uncertainty_score":0.03306836,"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."}}