{"id":"W4390989098","doi":"10.1016/j.radi.2024.01.002","title":"Benchmarking non-attendance patterns in paediatric medical imaging: A retrospective cohort study spotlighting First Nations children","year":2024,"lang":"en","type":"article","venue":"Radiography","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queensland University of Technology","keywords":"Medicine; Attendance; Retrospective cohort study; Odds; Logistic regression; Odds ratio; Cohort; Health care; Demography; Pediatrics; Family medicine; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002366191,0.0002162925,0.0003548986,0.00173996,0.001401944,0.00007600219,0.0002157243,0.0001746904,0.0003914916],"category_scores_gemma":[0.0003862054,0.0002012473,0.0001341451,0.003756381,0.0000379473,0.0002748439,0.00007656244,0.001174306,0.00004008974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003330407,"about_ca_system_score_gemma":0.0004197219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002912331,"about_ca_topic_score_gemma":0.01027157,"domain_scores_codex":[0.9968697,0.0004307413,0.0008389944,0.0006571242,0.00064578,0.0005576028],"domain_scores_gemma":[0.9985778,0.0006137895,0.000113524,0.0003116642,0.0001786241,0.0002045815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003442099,0.0001287503,0.9935291,0.0001000327,0.00005688967,0.00004291545,0.003993236,0.0002347034,4.027426e-7,0.0003021595,0.0007202042,0.0008881429],"study_design_scores_gemma":[0.0004427332,0.00003998286,0.9474267,0.0006162935,0.00003490935,0.000005704509,0.0008221915,0.05018235,1.89848e-7,0.00002481785,0.0002119413,0.0001922032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798102,0.0009306284,0.009821298,0.003224996,0.001604157,0.00264519,0.00006179904,0.0002899689,0.001611811],"genre_scores_gemma":[0.9962358,0.0007603062,0.0008499267,0.0002468177,0.001089832,0.0006086041,0.0001255595,0.0000494372,0.00003368789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04994765,"threshold_uncertainty_score":0.9998981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009333521562407892,"score_gpt":0.3406045599873849,"score_spread":0.331271038424977,"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."}}