{"id":"W2463446383","doi":"10.1017/cjn.2015.52","title":"Added Value of MRI over CT of the Brain in Intensive Care Unit Patients","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Medicine; Radiology; Odds ratio; Neuroimaging; Intensive care unit; Magnetic resonance imaging; Confidence interval; Population; Lesion; Stroke (engine); Internal medicine; Surgery","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":[0.004257034,0.0006670764,0.0009013737,0.003071621,0.0002478394,0.001434682,0.0005736194,0.0009341087,0.001541469],"category_scores_gemma":[0.06097662,0.0003376738,0.0006598794,0.001425297,0.0006024641,0.001302909,0.0008393915,0.001033045,0.0002277432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003861339,"about_ca_system_score_gemma":0.0004900458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006104035,"about_ca_topic_score_gemma":0.001167111,"domain_scores_codex":[0.99563,0.00240191,0.0005523752,0.0003725153,0.0008546983,0.0001885537],"domain_scores_gemma":[0.9488236,0.03298768,0.01111418,0.001335113,0.003357559,0.00238191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001520732,0.00005967218,0.9751884,0.0001735052,0.0001460597,0.0007166531,0.00008259788,0.0002719663,0.0006099166,0.00002662413,0.0002833056,0.02092046],"study_design_scores_gemma":[0.00009797618,0.001695535,0.9797704,0.0003177436,0.0005857199,0.0117553,0.0004110002,0.002782548,0.001661223,0.0002468094,0.0006300468,0.0000457178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895186,0.006179662,0.0006547535,0.001213154,0.0001507268,0.00004433392,0.0002360466,0.00003612947,0.001966608],"genre_scores_gemma":[0.9970471,0.001130924,0.001130209,0.0001699006,0.0003474735,0.000009484686,0.0001148393,0.000007017848,0.00004318055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004257034,"threshold_uncertainty_score":0.02251363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0472665105164899,"score_gpt":0.2859065676081454,"score_spread":0.2386400570916555,"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."}}