{"id":"W3121884958","doi":"","title":"The scale of hospital production in different settings: One size does not fit all","year":2012,"lang":"en","type":"preprint","venue":"Research Explorer (The University of Manchester)","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Data envelopment analysis; Productivity; Scale (ratio); Population; Production (economics); Business; Rural area; Health care; Population size; Geography; Economies of scale; Socioeconomics; Agricultural economics; Economic growth; Economics; Medicine; Environmental health; Statistics; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01452628,0.0002615744,0.0006827622,0.0005469552,0.0004808962,0.0001464825,0.003875568,0.0002270136,0.0001260621],"category_scores_gemma":[0.005161323,0.0001406927,0.0004014807,0.0009293305,0.001947399,0.0003075079,0.003772848,0.00135681,0.0000783287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003022686,"about_ca_system_score_gemma":0.0001669697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008595318,"about_ca_topic_score_gemma":0.0001073198,"domain_scores_codex":[0.9914821,0.002006822,0.0007183917,0.0009071367,0.004208697,0.0006768301],"domain_scores_gemma":[0.9897889,0.005655204,0.0007508598,0.002401355,0.001269898,0.0001337978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001853786,0.006388196,0.1252806,0.001045818,0.00118435,0.00003980015,0.7673181,0.006297234,0.01639459,0.0005428168,0.01958054,0.05407417],"study_design_scores_gemma":[0.00126614,0.00049638,0.6474526,0.001717356,0.0003709416,0.000002411995,0.2608837,0.003459979,0.04045124,0.02493867,0.01787594,0.001084593],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740113,0.0001998425,0.0001165741,0.0243657,0.0004570727,0.0007269784,0.00001755012,0.00001744503,0.00008753072],"genre_scores_gemma":[0.9985811,0.0004140472,0.000267177,0.00001561154,0.0001706754,0.000004315758,0.000004153684,0.0000153552,0.0005275864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.522172,"threshold_uncertainty_score":0.7201833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.171591614746201,"score_gpt":0.3689304980685374,"score_spread":0.1973388833223364,"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."}}