{"id":"W4200468044","doi":"10.1016/j.crad.2021.11.009","title":"Medical imaging call centre: a communication success story","year":2021,"lang":"en","type":"article","venue":"Clinical Radiology","topic":"Radiology practices and education","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Receipt; Medicine; Acknowledgement; Turnaround time; Medical emergency; Family medicine; Operations management; Accounting; Computer security; Business","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":[0.01900271,0.0007591058,0.0005743866,0.002007118,0.01639736,0.02034463,0.002761479,0.02784891,0.01919361],"category_scores_gemma":[0.06775673,0.0006470941,0.0006903129,0.002281766,0.01148442,0.01615305,0.008971228,0.041758,0.006963545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008400473,"about_ca_system_score_gemma":0.01123812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00954558,"about_ca_topic_score_gemma":0.01397588,"domain_scores_codex":[0.9827611,0.006349428,0.0006436458,0.001005486,0.005979233,0.003261156],"domain_scores_gemma":[0.8909317,0.05235189,0.007090157,0.002965586,0.01817359,0.02848711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001876883,0.0003265067,0.005973104,0.000246495,0.00006622003,0.006816274,0.02931177,0.0001833931,0.000415221,0.1048229,0.7972457,0.05440464],"study_design_scores_gemma":[0.0001178203,0.0003090574,0.007073413,0.001324309,0.00006227865,0.008428894,0.08804861,0.0007757651,0.0005484032,0.03447171,0.8586124,0.0002274477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01096295,0.002427584,0.0004107846,0.9545662,0.00308387,0.0000117539,0.00007740771,0.00007226721,0.02838707],"genre_scores_gemma":[0.4864797,0.01000291,0.001595009,0.4282939,0.022455,0.000136654,0.0003070324,0.0006487378,0.05008105],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02784891,"threshold_uncertainty_score":0.1004971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04901149454541446,"score_gpt":0.4378673608622547,"score_spread":0.3888558663168402,"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."}}