{"id":"W4206595728","doi":"10.1007/978-3-030-22009-9_987","title":"User Fees (Coinsurance, Copayment, and Deductibles)","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Copayment; Computer science; Economics","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":[0.0008575349,0.0008257212,0.0005818695,0.002034742,0.000700035,0.003614127,0.0007599674,0.001759109,0.04992538],"category_scores_gemma":[0.00438326,0.000381142,0.0005804315,0.004059552,0.0009130025,0.002903184,0.0009457862,0.001905835,0.02387926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001922998,"about_ca_system_score_gemma":0.001735041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006415227,"about_ca_topic_score_gemma":0.007421952,"domain_scores_codex":[0.9990506,0.0001999796,0.00006153879,0.0001132159,0.0004880714,0.00008665855],"domain_scores_gemma":[0.9991078,0.0003608533,0.0001056584,0.0001355774,0.0002323019,0.00005785756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002259252,0.00006893375,0.0005927128,0.0001536637,0.00001244106,0.00005435543,0.00009223968,0.00187164,0.0002055759,0.4326326,0.315077,0.2492163],"study_design_scores_gemma":[0.000005201739,0.00003776478,0.002326279,0.000253797,0.00001411237,0.0004554908,0.00005500374,0.002487672,0.0003767167,0.13445,0.8595155,0.00002232736],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003491482,0.05093289,0.01978077,0.004973479,0.002499206,0.00008824218,0.00225317,0.0005677185,0.915413],"genre_scores_gemma":[0.0709572,0.04840877,0.009687054,0.001482019,0.002324274,0.0001468813,0.001967391,0.0003046525,0.8647217],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04992538,"threshold_uncertainty_score":0.167017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06250896899260894,"score_gpt":0.2509694994037993,"score_spread":0.1884605304111903,"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."}}