{"id":"W4390902251","doi":"10.2337/figshare.24843756.v1","title":"Impact of the COVID-19 Pandemic on Medical Expenditures among Medicare Fee-For Service Beneficiaries Aged 67 Years or Older With Diabetes","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Global Health Care Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Pandemic; Per capita; Population; Demography; Coronavirus disease 2019 (COVID-19); Medicine; Geography; Environmental health; Disease; Infectious disease (medical specialty)","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":[0.0009065933,0.0002182675,0.0002171998,0.0006531859,0.0003157257,0.0006257542,0.0003701937,0.0005657026,0.002667599],"category_scores_gemma":[0.005290789,0.0001381953,0.0008407155,0.0009930473,0.0001974529,0.0007897106,0.001265124,0.0009314412,0.0002505926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648491,"about_ca_system_score_gemma":0.001400979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06591155,"about_ca_topic_score_gemma":0.08534098,"domain_scores_codex":[0.9991912,0.000206116,0.00008281184,0.0000686791,0.0001600026,0.0002912831],"domain_scores_gemma":[0.9976205,0.0003636869,0.001098906,0.00006176781,0.0002542064,0.0006008797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005354821,0.0001435585,0.9869937,0.00006001446,0.0001342081,0.0001240068,0.00008544056,0.0005783505,0.00009766108,0.0002267838,0.00446153,0.00655926],"study_design_scores_gemma":[0.000009563714,0.00005863516,0.9990096,0.00002271931,0.00002399901,0.00003746346,0.0001237057,0.0002433166,0.00002755951,0.00002091206,0.0004190506,0.000003435102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985787,0.00064543,0.00003943089,0.002087374,0.0000630444,0.00002816333,0.007780818,0.000008602988,0.003560092],"genre_scores_gemma":[0.9927492,0.0003689731,0.00006552497,0.0005250335,0.0000742646,0.00003590434,0.005753133,0.000004298308,0.0004235428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06591155,"threshold_uncertainty_score":0.1310558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07841058501056639,"score_gpt":0.4684645275614409,"score_spread":0.3900539425508746,"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."}}