{"id":"W4390582024","doi":"10.5539/gjhs.v16n1p46","title":"Performance Services for COVID-19 with Private Medical College Hospitals","year":2024,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Medicine; Health care; Disease; Coronavirus disease 2019 (COVID-19); Medical emergency; Family medicine; Business; Political science; Infectious disease (medical specialty); Pathology","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":[0.001296718,0.0002511073,0.0001579998,0.001148447,0.002444573,0.001562697,0.0006547958,0.0004679907,0.0863374],"category_scores_gemma":[0.008642755,0.0002011223,0.0002087551,0.001807078,0.00053462,0.0009347168,0.002969156,0.0008650108,0.007289309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00489685,"about_ca_system_score_gemma":0.01223783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02709476,"about_ca_topic_score_gemma":0.04098502,"domain_scores_codex":[0.9979717,0.0005016262,0.0001980215,0.0001694682,0.000461054,0.0006980651],"domain_scores_gemma":[0.9857216,0.001664238,0.003130297,0.0004653535,0.001981098,0.007037496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002452855,0.0007073273,0.6212943,0.0008248872,0.00002187332,0.0006877943,0.01981845,0.0002121114,0.001407575,0.00436211,0.1478163,0.202602],"study_design_scores_gemma":[0.00005629688,0.0007294211,0.7422669,0.000586297,0.0000166501,0.0007635725,0.04967886,0.0003671458,0.0004832152,0.0008390991,0.20416,0.00005257981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8190759,0.001229278,0.000807294,0.03154169,0.0003007779,0.001540284,0.01829273,0.0002104906,0.1270015],"genre_scores_gemma":[0.9320499,0.001474414,0.001992727,0.00329048,0.0003310437,0.0008656839,0.005177612,0.00005354287,0.05476468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0863374,"threshold_uncertainty_score":0.2888274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0358069668373809,"score_gpt":0.335412740122613,"score_spread":0.2996057732852321,"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."}}