{"id":"W2920884714","doi":"10.1093/jcag/gwz006.211","title":"A212 PREDICTIVE OVERBOOKING TO PREVENT ENDOSCOPY CLINIC NONATTENDANCE: MODEL DEVELOPMENT","year":2019,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Global Healthcare and Medical Tourism","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Esophagogastroduodenoscopy; Colonoscopy; Health care; Attendance; Referral; Sigmoidoscopy; Workload; Absenteeism; Endoscopy; Logistic regression; Outpatient clinic; Veterans Affairs; Emergency medicine; Family medicine; Surgery; Internal medicine; Cancer; Colorectal cancer","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01501872,0.002049103,0.001627836,0.002788799,0.0009223673,0.001802237,0.003266117,0.001612464,0.006084889],"category_scores_gemma":[0.02208081,0.001107431,0.002530559,0.00128675,0.0005038874,0.001079418,0.001748902,0.003063737,0.0005978143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002352209,"about_ca_system_score_gemma":0.005584968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05555953,"about_ca_topic_score_gemma":0.0250362,"domain_scores_codex":[0.9967356,0.002249272,0.0001470026,0.0004158008,0.000183546,0.0002686867],"domain_scores_gemma":[0.9674644,0.02877539,0.0009914223,0.0002873552,0.002091769,0.0003896821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001325795,0.001136185,0.0948056,0.0003383583,0.0008829734,0.0002476779,0.0003060355,0.8526575,0.0003580074,0.003881726,0.003476629,0.04058352],"study_design_scores_gemma":[0.00009575064,0.0001955026,0.002036338,0.00002737803,0.0001147789,0.00002708137,0.00005311162,0.9961185,0.00007618547,0.0008884926,0.0003535688,0.00001328818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5427697,0.00158367,0.4383463,0.003408437,0.0002663199,0.003567019,0.003628897,0.002281821,0.004147804],"genre_scores_gemma":[0.8338765,0.0006851418,0.1554902,0.0004077265,0.0001214815,0.003384055,0.002593392,0.00008164682,0.003359926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05555953,"threshold_uncertainty_score":0.1104723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02458522884898646,"score_gpt":0.3552827566953465,"score_spread":0.3306975278463601,"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."}}