{"id":"W6901803724","doi":"10.60692/etawq-kak24","title":"Pattern of OPD utilisation during the COVID-19 pandemic under the Universal Coverage Scheme in Thailand: what can 850 million records tell us?","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Pandemic; Confidence interval; Coronavirus disease 2019 (COVID-19); Public health; Health care; Trend analysis; Public health surveillance; Outpatient visits; Disease burden","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":[0.001247343,0.0002018461,0.0003684444,0.001139579,0.0002960618,0.001191926,0.0005052222,0.0004115018,0.001604965],"category_scores_gemma":[0.004938681,0.0002447176,0.000672192,0.003752115,0.0004070503,0.0009783389,0.0007744432,0.0006968301,0.0002411686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007010648,"about_ca_system_score_gemma":0.0007734321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03920092,"about_ca_topic_score_gemma":0.02867346,"domain_scores_codex":[0.9985231,0.0004550485,0.0003329825,0.0002895948,0.00020557,0.0001938563],"domain_scores_gemma":[0.9942849,0.001136033,0.002955028,0.0004074921,0.0007920808,0.0004243884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007539831,0.00001239134,0.9937954,0.0001055983,0.00008372674,0.0001075441,0.0004758685,0.0002101496,0.0000784836,0.00005569659,0.0006931503,0.004306491],"study_design_scores_gemma":[0.00000319151,0.00004712743,0.9960413,0.0001233368,0.0000379729,0.0002750126,0.001815131,0.0008381982,0.00007454555,0.0000570534,0.0006728829,0.00001422398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881716,0.001489429,0.000424969,0.0005509087,0.00002158788,0.00001273601,0.008511083,0.00002143265,0.0007962342],"genre_scores_gemma":[0.99424,0.0008132075,0.0001795454,0.00008620124,0.00001980738,0.00001683208,0.004440793,0.000006414102,0.0001970887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03920092,"threshold_uncertainty_score":0.07794553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1023138094177078,"score_gpt":0.335655127403466,"score_spread":0.2333413179857583,"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."}}