{"id":"W4221019952","doi":"10.1097/ta.0000000000003631","title":"Data resources for evaluating the economic and financial consequences of surgical care in the United States","year":2022,"lang":"en","type":"article","venue":"The Journal of Trauma: Injury, Infection, and Critical Care","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Agency for Healthcare Research and Quality","keywords":"Financial management; Data system; Payment; Work (physics); MEDLINE","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07439643,0.001142224,0.002448973,0.02987136,0.00136442,0.005554006,0.004726509,0.002033859,0.01088795],"category_scores_gemma":[0.3151608,0.0008905724,0.00326991,0.04425459,0.001018559,0.005202412,0.00563585,0.002507284,0.002163027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005044498,"about_ca_system_score_gemma":0.01670195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02353866,"about_ca_topic_score_gemma":0.02298184,"domain_scores_codex":[0.9164582,0.03869911,0.02473674,0.003291578,0.01590275,0.0009115367],"domain_scores_gemma":[0.5548041,0.2945958,0.05099778,0.02484724,0.07011241,0.004642561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001066269,0.0005920143,0.1736689,0.05810393,0.007957445,0.0003264992,0.001086231,0.01195111,0.000439635,0.03609532,0.2663859,0.4423266],"study_design_scores_gemma":[0.0007179877,0.0005055513,0.2826009,0.1366824,0.006505085,0.000543223,0.00374082,0.01218065,0.002248544,0.04023014,0.5135279,0.0005168314],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02677735,0.06976242,0.02391841,0.01983201,0.0009165459,0.004196643,0.8274142,0.0007623691,0.02642009],"genre_scores_gemma":[0.1723661,0.07377821,0.1287557,0.006217321,0.000780051,0.02177447,0.5946142,0.0003531565,0.00136078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07439643,"threshold_uncertainty_score":0.3934506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1124224177513509,"score_gpt":0.3808481374680721,"score_spread":0.2684257197167212,"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."}}