{"id":"W2587906326","doi":"10.1017/cjn.2017.24","title":"Iodinated Contrast Encephalopathy","year":2017,"lang":"fr","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Neurological Complications and Syndromes","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Hôpital Notre-Dame","funders":"","keywords":"Contrast (vision); Iodinated contrast; Medicine; Radiology; Computer science; Artificial intelligence; Computed tomography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001604177,0.0005102066,0.0005952297,0.001192131,0.0005576611,0.0006493887,0.0004654524,0.001017467,0.01858136],"category_scores_gemma":[0.001977379,0.0001546381,0.0003840361,0.001116368,0.0006107809,0.0009931689,0.0003350565,0.001843587,0.003921778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008482201,"about_ca_system_score_gemma":0.0008432668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003755114,"about_ca_topic_score_gemma":0.002859722,"domain_scores_codex":[0.9998367,0.00002039012,0.00001634082,0.000030117,0.00003211563,0.00006444775],"domain_scores_gemma":[0.9994645,0.0001785796,0.00006347156,0.00008780543,0.00008901644,0.0001166442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.001534275,0.0005921957,0.0155791,0.000833944,0.000167303,0.8144219,0.0001286573,0.00031765,0.00681014,0.007780377,0.04425843,0.1075761],"study_design_scores_gemma":[0.0003741735,0.0007436179,0.0295802,0.0006242643,0.0002389694,0.8502307,0.0001555579,0.0009234628,0.009542165,0.007892671,0.09961346,0.00008079924],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3279777,0.05585329,0.01794695,0.03760885,0.006234867,0.0006624369,0.006807816,0.001577265,0.5453309],"genre_scores_gemma":[0.908749,0.01544265,0.002263082,0.01052887,0.001666827,0.00008518737,0.001910186,0.0001787886,0.05917545],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01858136,"threshold_uncertainty_score":0.06216085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05817637567310249,"score_gpt":0.3059440489081518,"score_spread":0.2477676732350493,"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."}}