{"id":"W2955100594","doi":"10.1016/j.jval.2019.04.1384","title":"PNS19 AN APPROACH TO EXAMINING GEOGRAPHIC VARIATION IN HEALTHCARE SPENDING AND UTILIZATION IN THE CANADIAN WORKERS COMPENSATION SYSTEM","year":2019,"lang":"en","type":"article","venue":"Value in Health","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Work & Health; University of British Columbia","funders":"","keywords":"Health care; Incentive; Compensation (psychology); Business; Context (archaeology); Variation (astronomy); Work (physics); Economics; Economic growth; Geography; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01181907,0.0001317572,0.0003101268,0.001116304,0.000569003,0.00002982981,0.0001561354,0.0003233525,0.000008338381],"category_scores_gemma":[0.0002221338,0.000115488,0.00001018063,0.001188525,0.0000138827,0.0002648894,0.00002157437,0.001135762,0.00003031801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00186377,"about_ca_system_score_gemma":0.001276809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7515445,"about_ca_topic_score_gemma":0.369849,"domain_scores_codex":[0.9945942,0.002787372,0.001160339,0.0003146877,0.0003926875,0.0007507129],"domain_scores_gemma":[0.9985175,0.0004713152,0.0002966718,0.0002701378,0.00005270114,0.0003916904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002597498,0.00001976328,0.9146898,0.0023881,7.999327e-7,7.140438e-7,0.04505432,0.004573037,4.992189e-7,0.03126346,0.00001986613,0.001963665],"study_design_scores_gemma":[0.0005578478,0.0001004116,0.8157206,0.001518031,8.601709e-7,0.000001881244,0.0171364,0.1645123,2.609115e-8,0.0001394824,0.0002295867,0.00008256144],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858736,0.0001281338,0.0004852692,0.007201601,0.0005304926,0.003488887,0.000007820657,0.00004224709,0.002241981],"genre_scores_gemma":[0.9947993,0.00004520785,0.0007993028,0.00397681,0.0000808615,0.0001662337,0.0001077572,0.00001446353,0.00001006313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3816955,"threshold_uncertainty_score":0.6416496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4016367580259676,"score_gpt":0.4266181537116135,"score_spread":0.02498139568564595,"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."}}