{"id":"W4387333375","doi":"10.5539/hes.v13n4p75","title":"Health Impact of Long Covid among Student Teachers, Kasetsart University","year":2023,"lang":"en","type":"article","venue":"Higher Education Studies","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Mathematics education; Sample size determination; Psychology; Population; Academic year; Medical education; Sample (material); Stratified sampling; Data collection; Medicine; Mathematics; Statistics; Environmental health; Infectious disease (medical specialty); Physics; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001372357,0.0002102192,0.0003689085,0.0008089445,0.002307445,0.001412689,0.0004778861,0.0003657076,0.001418525],"category_scores_gemma":[0.002396381,0.0002886177,0.0002073494,0.0008933273,0.0007543995,0.0004248733,0.001160318,0.0005661357,0.0001673702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001941329,"about_ca_system_score_gemma":0.003640732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01351377,"about_ca_topic_score_gemma":0.04509619,"domain_scores_codex":[0.9990715,0.0003182982,0.0001028415,0.00009332452,0.0001980149,0.0002160772],"domain_scores_gemma":[0.9984816,0.0004891486,0.0004457072,0.00006163033,0.0001972686,0.0003246264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001586738,0.0007989352,0.9408639,0.0003195822,0.00002480533,0.001049872,0.03744363,0.00007183529,0.001545274,0.0001905441,0.0003139199,0.017219],"study_design_scores_gemma":[0.00001362483,0.001228948,0.8135608,0.0002136879,0.00003867737,0.0004868779,0.1813118,0.00009981061,0.001149792,0.00008375276,0.00178514,0.00002693865],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994098,0.000152674,0.00002938595,0.00007664786,0.00000320428,0.0000256086,0.00003811528,0.00000109064,0.0002634498],"genre_scores_gemma":[0.9987431,0.0004096705,0.0001641777,0.0000932179,0.000005730473,0.00008623918,0.00005809172,6.367884e-7,0.000439033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01351377,"threshold_uncertainty_score":0.02687025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08215497807532364,"score_gpt":0.4634727362581196,"score_spread":0.381317758182796,"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."}}