{"id":"W4386149117","doi":"10.5281/zenodo.8282902","title":"Changes in Healthcare Utilization During the COVID-19 Pandemic and Potential Causes—A Cohort Study From Switzerland","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Epidemiology, Biostatistics and Occupational Health, McGill University; Université de Lausanne; Canton de Neuchâtel; Hôpitaux Universitaires de Genève; Université de Fribourg; Universität Zürich; Bundesamt für Gesundheit; University of Bern; Universität Basel; McGill University; Université de Genève; Inselspital, Universitätsspital Bern","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Medicine; Cohort; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Health care; Cohort study; Environmental health; Virology; Outbreak; Disease; Internal medicine; Economic growth; Infectious disease (medical specialty); Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0009733383,0.0004262717,0.0002799616,0.00128607,0.0005395752,0.001002351,0.000282446,0.0007006914,0.002168262],"category_scores_gemma":[0.001118956,0.0003059947,0.0008204671,0.0009927909,0.0003138671,0.0005064862,0.0006514725,0.000522881,0.0003950864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007163116,"about_ca_system_score_gemma":0.0005591953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04400967,"about_ca_topic_score_gemma":0.03946821,"domain_scores_codex":[0.9994807,0.0001320339,0.0000413312,0.0001297815,0.00006821626,0.0001479158],"domain_scores_gemma":[0.9993441,0.00009540745,0.0002325752,0.00008201428,0.00009016824,0.0001557569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001227748,0.0000514094,0.9984171,0.000006589332,0.00004383859,0.000127611,0.0002061975,0.00004815462,0.000139806,0.0000158224,0.0001591574,0.0006615687],"study_design_scores_gemma":[0.000007846421,0.0001132908,0.9991021,0.000006652449,0.00001104327,0.00009256013,0.0003393859,0.0001477538,0.0000232645,0.000007933546,0.0001436751,0.000004470201],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988642,0.00009512158,0.00005265792,0.0000303175,0.000004763668,0.00001426943,0.0007160234,0.000002365573,0.0002204506],"genre_scores_gemma":[0.9989616,0.00007723351,0.00003987944,0.00001728323,0.000006837888,0.00001497966,0.0007153447,0.000002069537,0.0001648069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04400967,"threshold_uncertainty_score":0.08750707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1524876229114705,"score_gpt":0.3121565484394981,"score_spread":0.1596689255280276,"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."}}