{"id":"W2903121257","doi":"10.1016/j.jmir.2018.10.012","title":"Attend: A Two-Pronged Trial to Eliminate No Shows in Diagnostic Imaging at a Community-Based Hospital","year":2018,"lang":"en","type":"article","venue":"Journal of medical imaging and radiation sciences","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Regional Municipality of Niagara; Brock University; Niagara Health System; McMaster University; University of Toronto","funders":"","keywords":"Medicine; Attendance; Psychological intervention; Community hospital; Family medicine; Modalities; Primary care; Health care; Magnetic resonance imaging; Randomized controlled trial; Emergency medicine; Medical emergency; Nursing; Surgery; Radiology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006683712,0.001609568,0.002561654,0.000652397,0.001445184,0.002064059,0.002763108,0.006464899,0.02365533],"category_scores_gemma":[0.02057474,0.0006869056,0.002841467,0.0003386437,0.001845203,0.002861009,0.001739742,0.005838779,0.00122677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156932,"about_ca_system_score_gemma":0.004180523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003756504,"about_ca_topic_score_gemma":0.00539457,"domain_scores_codex":[0.9959085,0.002263931,0.0002597005,0.0006434567,0.0003358702,0.0005886272],"domain_scores_gemma":[0.9856171,0.008149429,0.0008369347,0.0005509632,0.0004535044,0.004392073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.7955993,0.04731946,0.003244955,0.001131736,0.001865037,0.0001545927,0.0004056977,0.008627812,0.002498758,0.00197564,0.009232493,0.1279445],"study_design_scores_gemma":[0.6292937,0.3068399,0.01227579,0.0005796398,0.003438873,0.0002382615,0.001199612,0.0260382,0.003030641,0.00722154,0.00955469,0.0002891489],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609737,0.002114234,0.007056027,0.01496514,0.003639715,0.004426825,0.0005975963,0.0006406701,0.005586034],"genre_scores_gemma":[0.9806943,0.0004322101,0.006921227,0.005722515,0.0007823433,0.002018524,0.0003073932,0.00009028298,0.003031228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02365533,"threshold_uncertainty_score":0.07913494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05586638624663979,"score_gpt":0.4527455048781383,"score_spread":0.3968791186314985,"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."}}