{"id":"W6912067938","doi":"10.5281/zenodo.14062206","title":"Determination of Patient Waiting Time and Associated Factors at General Out-Patient Department (GOPD) of Irrua Specialist Teaching Hospital (ISTH), Irrua, Nigeria - An Electronic Medical Record Setting","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Micropharma (Canada)","funders":"","keywords":"Intranet; Payment; Medical record; Simple random sample; Service (business); Likert scale; Descriptive statistics; Teaching hospital","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001514829,0.0001564839,0.0002392653,0.0002033337,0.002386187,0.0001262825,0.0002208113,0.0001668374,0.003352124],"category_scores_gemma":[0.001815595,0.0001522613,0.0000484548,0.0002296476,0.00007758202,0.000270929,0.0004429103,0.0005386994,0.0001494746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007073936,"about_ca_system_score_gemma":0.0000638663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001442716,"about_ca_topic_score_gemma":0.00003713045,"domain_scores_codex":[0.996343,0.00148333,0.0007883367,0.0003874521,0.0005537388,0.0004441484],"domain_scores_gemma":[0.9985918,0.0001348611,0.0003172456,0.0002161413,0.0005244028,0.0002155696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002944927,0.001435562,0.004288182,0.001422539,0.0003177398,0.00005554638,0.1656277,0.0005961932,0.01260859,0.009663495,0.02761298,0.7760769],"study_design_scores_gemma":[0.002450177,0.0075345,0.009518651,0.002505031,0.0001551195,0.00004697518,0.01255686,0.5131117,0.002107065,0.0004506588,0.4481201,0.001443207],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941664,0.00006088023,0.001005746,0.000605881,0.0003058474,0.0007267407,0.0002553832,0.0002519841,0.002621076],"genre_scores_gemma":[0.9945796,0.00005593121,0.0009692424,0.00006343229,0.0001374603,4.092776e-7,0.003499219,0.0004038753,0.0002908735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7746337,"threshold_uncertainty_score":0.9989126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02799912404044783,"score_gpt":0.3269166959826356,"score_spread":0.2989175719421878,"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."}}