{"id":"W4402624767","doi":"10.1016/j.amepre.2024.09.011","title":"Inequities in Unexpected Cost-Sharing for Preventive Care in the United States","year":2024,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institute on Aging; Centers for Disease Control and Prevention; Akademie Věd České Republiky; Commonwealth Fund; Masarykova Univerzita; National Center for Advancing Translational Sciences; Ústav organické chemie a biochemie Akademie věd České republiky; Ministry of Health, Ontario","keywords":"Preventive care; Environmental health; MEDLINE; Cost sharing; Preventive healthcare; Medicine; Business; Health care; Economic growth; Public health; Political science; Nursing; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001406834,0.0001237903,0.0003309655,0.0008056275,0.0005167538,0.001177735,0.0006289725,0.0007578424,0.002794685],"category_scores_gemma":[0.006352752,0.0001996973,0.0005239639,0.001414548,0.0005532032,0.001029241,0.001308267,0.00152696,0.0001202185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002701653,"about_ca_system_score_gemma":0.00137746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08043198,"about_ca_topic_score_gemma":0.1076676,"domain_scores_codex":[0.9984887,0.0004965401,0.0001469494,0.0001787647,0.0002116406,0.0004774196],"domain_scores_gemma":[0.9951259,0.001283344,0.00203378,0.0002120921,0.0004706345,0.0008743242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002545651,0.0002415114,0.9789449,0.00002954532,0.0002728151,0.0001551605,0.000371077,0.004017102,0.00009983154,0.006789782,0.003231011,0.005592579],"study_design_scores_gemma":[0.00002130438,0.00008329968,0.9850107,0.00003788001,0.00006755341,0.0001687548,0.001521823,0.006769013,0.00008780588,0.005176147,0.001033221,0.00002247238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902957,0.0007909304,0.0002449045,0.004886306,0.00004284332,0.000008426916,0.001646656,0.000008284647,0.002075946],"genre_scores_gemma":[0.9993332,0.0001089473,0.00002568931,0.0001210647,0.00001660361,0.000001907612,0.0002807343,0.0000011481,0.0001108185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08043198,"threshold_uncertainty_score":0.1599276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05377962889395187,"score_gpt":0.3411904875112576,"score_spread":0.2874108586173058,"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."}}