{"id":"W2019454902","doi":"10.1016/j.healthpol.2003.10.009","title":"The predictability of individual primary care costs and its impact on managed care plans","year":2003,"lang":"en","type":"article","venue":"Health Policy","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Health and Social Services","funders":"","keywords":"Context (archaeology); Population; Predictability; Health care; Demography; Medicine; Family medicine; Geography; Environmental health; Economics; Economic growth; Sociology; Statistics","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":[0.000952043,0.000159515,0.0003684505,0.0002226545,0.0003370477,0.00003310284,0.0001924576,0.00008404043,0.00001168447],"category_scores_gemma":[0.0002396987,0.0001341557,0.00007368613,0.0002459856,0.00005871333,0.00006463711,0.00006487136,0.0002046793,0.00002824274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009000467,"about_ca_system_score_gemma":0.0003616597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01210782,"about_ca_topic_score_gemma":0.001306498,"domain_scores_codex":[0.9983138,0.000141173,0.0006136171,0.0003072429,0.00007735623,0.0005468554],"domain_scores_gemma":[0.998843,0.0001542735,0.0003152808,0.000399166,0.00003724837,0.0002510343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004670957,0.00005464993,0.02896726,0.001852557,0.00005684216,0.000001052157,0.01367702,0.00002734509,1.673675e-7,0.9283376,0.001429925,0.02554889],"study_design_scores_gemma":[0.001069859,0.0008053803,0.7625632,0.00009215086,0.000005898667,0.000003054289,0.002488928,0.00001837419,0.00001607579,0.003843051,0.2288516,0.000242393],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7937945,0.03377524,0.00003604479,0.02924891,0.0005106213,0.002867391,0.00691487,0.00009171171,0.1327608],"genre_scores_gemma":[0.9935821,0.002067843,0.00003102207,0.004012892,0.00009990938,0.00004296636,0.00004893216,0.00001811221,0.00009623155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9244945,"threshold_uncertainty_score":0.9944707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04915000776618533,"score_gpt":0.3405247348349127,"score_spread":0.2913747270687274,"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."}}