{"id":"W2081548703","doi":"10.1097/mlg.0b013e31803c568f","title":"Cost‐Effective Diagnosis of Ingested Foreign Bodies","year":2007,"lang":"en","type":"article","venue":"The Laryngoscope","topic":"Foreign Body Medical Cases","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Reimbursement; Medicine; Endoscopy; Modalities; Radiology; Computed tomography; Radiography; Cost-effectiveness analysis; Foreign body; Decision analysis; Medical physics; Cost effectiveness; Health care; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.0009366572,0.0001523918,0.0003688848,0.00009739309,0.00007967307,0.000006037349,0.0001470622,0.00009457813,0.0003478072],"category_scores_gemma":[0.00114187,0.00009129778,0.000107653,0.0002603985,0.0004408791,0.00005868195,0.00008938023,0.000257458,0.00006779313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006209894,"about_ca_system_score_gemma":0.00004738545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001463924,"about_ca_topic_score_gemma":0.00003887103,"domain_scores_codex":[0.9987285,0.00006521485,0.0002954408,0.0001792266,0.0003953431,0.0003362687],"domain_scores_gemma":[0.9980813,0.001174865,0.0001060688,0.0003620616,0.0001226746,0.0001530416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005747325,0.001909874,0.7061908,0.001341688,0.001151199,0.001487569,0.006560325,0.00001700056,0.00996696,0.02276645,0.05215236,0.1907085],"study_design_scores_gemma":[0.004379231,0.003207044,0.5508991,0.001120738,0.0006931474,0.0003376217,0.001889718,0.0001375177,0.3992343,0.004303648,0.03341355,0.00038434],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9389842,0.001565391,0.0006489737,0.0009037983,0.0001243912,0.002040014,0.00001348161,0.00009570825,0.055624],"genre_scores_gemma":[0.9975145,0.0001291305,0.0003768895,0.001208092,0.0002157547,0.0001842196,0.00001445265,0.00002741726,0.0003294711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3892673,"threshold_uncertainty_score":0.3808246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03493152975457159,"score_gpt":0.323164506916585,"score_spread":0.2882329771620135,"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."}}