{"id":"W3109998109","doi":"10.1186/s13561-020-00294-9","title":"Nonparametric estimation of a primary care production function in urban Brazil","year":2020,"lang":"en","type":"article","venue":"Health Economics Review","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Nonparametric statistics; Production function; Econometrics; Diseconomies of scale; Returns to scale; Production (economics); Economics; Estimation; Capital (architecture); Economies of scale; Actuarial science; Microeconomics; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005228727,0.0005564945,0.0006637381,0.0009360678,0.0003189484,0.001071848,0.001055098,0.0006481218,0.001333385],"category_scores_gemma":[0.0246849,0.0003305344,0.001153102,0.001309419,0.0007960534,0.0006901011,0.0009812509,0.000641036,0.0001963814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514313,"about_ca_system_score_gemma":0.0009808845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0553896,"about_ca_topic_score_gemma":0.02434199,"domain_scores_codex":[0.998133,0.001064052,0.00008095036,0.0004175921,0.0001470571,0.0001574275],"domain_scores_gemma":[0.9823729,0.01315351,0.002145361,0.001374366,0.0007971206,0.0001566119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000216087,0.0001960403,0.4290321,0.0003555397,0.0003718601,0.0006139154,0.0008220585,0.5033017,0.001085874,0.02011389,0.002765202,0.04112583],"study_design_scores_gemma":[0.00004875506,0.00008949922,0.1648641,0.0001166015,0.00006325405,0.0002094336,0.0005339059,0.8143389,0.0005898522,0.01576416,0.003339013,0.00004251291],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8760108,0.0008596756,0.1157586,0.0008155036,0.00001656254,0.0001157703,0.00336794,0.0002150302,0.002840106],"genre_scores_gemma":[0.9881982,0.0001438496,0.009428273,0.00004939075,0.000009341265,0.00005739068,0.001682819,0.00001391906,0.0004168201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0553896,"threshold_uncertainty_score":0.1101344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1199147575870275,"score_gpt":0.3913664788496889,"score_spread":0.2714517212626615,"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."}}