{"id":"W1540998460","doi":"","title":"Modelling Individual Patient Hospital Expenditure for General Practice Budgets","year":2011,"lang":"en","type":"preprint","venue":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Imperial College London; York University; London School of Hygiene and Tropical Medicine","keywords":"Incentive; Set (abstract data type); Population; Econometrics; Economics; Actuarial science; Medicine; Computer science; Environmental health; Microeconomics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00177506,0.0003441915,0.0009874712,0.001065016,0.0008987817,0.00002324704,0.002559292,0.0007378206,0.0005499215],"category_scores_gemma":[0.0001153587,0.0004875622,0.0006541861,0.0004620189,0.001095604,0.0004555889,0.003144613,0.001498372,0.00002693105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003420456,"about_ca_system_score_gemma":0.0004130432,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07464425,"about_ca_topic_score_gemma":0.003045145,"domain_scores_codex":[0.997279,0.0003113096,0.0004077442,0.0008749498,0.0004160614,0.0007108962],"domain_scores_gemma":[0.996166,0.0004224706,0.001289187,0.001048582,0.0007879465,0.0002857979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007471753,0.008422922,0.002228253,0.006216438,0.007527918,0.0004911725,0.449403,0.09422006,0.00003470086,0.3186302,0.07898798,0.02636566],"study_design_scores_gemma":[0.004894943,0.002370335,0.001967716,0.0007970681,0.0006382219,0.000006013524,0.2730877,0.04002656,0.00002831144,0.0123973,0.6623774,0.001408418],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6914531,0.004521394,0.178341,0.05217035,0.001289385,0.0065228,0.01533951,0.0001873583,0.05017512],"genre_scores_gemma":[0.9352483,0.007784828,0.04883328,0.00008675977,0.0001528954,1.750938e-7,0.0005779526,0.00004652947,0.007269238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5833895,"threshold_uncertainty_score":0.9997576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1347770501893121,"score_gpt":0.2838857390296847,"score_spread":0.1491086888403726,"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."}}