{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003941244,0.0007050779,0.001097056,0.001611127,0.0004346587,0.002932746,0.001669706,0.002415472,0.007987069],"category_scores_gemma":[0.02163299,0.0009990766,0.001214396,0.002862651,0.001091169,0.002016259,0.001626296,0.001918102,0.0007417395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005841154,"about_ca_system_score_gemma":0.00246806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04951299,"about_ca_topic_score_gemma":0.03024212,"domain_scores_codex":[0.9973257,0.001577292,0.0001140874,0.0002908086,0.0002026252,0.000489531],"domain_scores_gemma":[0.9909427,0.006568399,0.001305321,0.0003384668,0.0003672929,0.0004778382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002074173,0.0002225185,0.03230063,0.00008830937,0.0001050133,0.000282946,0.0003813879,0.8953494,0.0002072645,0.05777482,0.002710892,0.0103695],"study_design_scores_gemma":[0.00007506736,0.0001428956,0.02051344,0.0000649885,0.00005057397,0.0001030764,0.0003325023,0.9519663,0.000140224,0.02298747,0.003574716,0.00004867512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8941985,0.0008388333,0.07878276,0.004145287,0.00007382601,0.0002363352,0.005485931,0.0002187349,0.01601968],"genre_scores_gemma":[0.9778983,0.000364983,0.008244763,0.000127785,0.00003840208,0.0002299333,0.001553285,0.00004824649,0.01149441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04951299,"threshold_uncertainty_score":0.09844959,"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."}}