{"id":"W4395009145","doi":"10.3389/fcdhc.2024.1293882","title":"Out-of-pocket expenses and rationing of insulin and diabetes supplies: findings from the 2022 T1International cross-sectional web-based survey","year":2024,"lang":"en","type":"article","venue":"Frontiers in Clinical Diabetes and Healthcare","topic":"Diabetes Management and Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rationing; Pandemic; Business; Health care rationing; Health care; Insulin; Environmental health; Cross-sectional study; Type 1 diabetes; Medicine; Coronavirus disease 2019 (COVID-19); Diabetes mellitus; Economic growth; Socioeconomics; Economics; Disease; Endocrinology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004276627,0.0002020745,0.0002613717,0.001386144,0.0006561858,0.001779205,0.0005917828,0.0007813482,0.004255088],"category_scores_gemma":[0.01141918,0.0002812502,0.0006484298,0.00233852,0.0003611562,0.001686994,0.002122957,0.001040269,0.0009135903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001272768,"about_ca_system_score_gemma":0.001531779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02695856,"about_ca_topic_score_gemma":0.02713353,"domain_scores_codex":[0.9982247,0.0006105363,0.000284021,0.0001532304,0.0004264604,0.0003010728],"domain_scores_gemma":[0.9895858,0.002854049,0.004293969,0.0002521346,0.001831432,0.001182673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001410372,0.0002346658,0.9614606,0.0005144307,0.00006890764,0.0001885089,0.01264038,0.00006928938,0.0002252851,0.0001135802,0.006826165,0.01751714],"study_design_scores_gemma":[0.000008773418,0.0001212396,0.9660068,0.0003768265,0.00002994713,0.0002136227,0.02722412,0.0001590722,0.0001188917,0.00003867545,0.005680591,0.00002141184],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808021,0.0003358668,0.0002157911,0.001543768,0.00002234337,0.000184313,0.01176974,0.00001726457,0.005108892],"genre_scores_gemma":[0.9858077,0.0009342312,0.000770168,0.001700942,0.00003537465,0.0006217857,0.008528813,0.00001822646,0.001582682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02695856,"threshold_uncertainty_score":0.05360329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07964140492467989,"score_gpt":0.4107345334773211,"score_spread":0.3310931285526413,"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."}}