{"id":"W2406383223","doi":"10.1017/s0317167100051593","title":"CTA Source Images as a Predictor of Final Infarct Volume are Time-Dependent","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Angiography; Perfusion; Radiology; Infarction; Stroke (engine); Ischemia; Occlusion; Perfusion scanning; Acute stroke; Volume (thermodynamics); Nuclear medicine; Cardiology; Internal medicine; Myocardial infarction; Tissue plasminogen activator","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":[0.0006026867,0.0004688404,0.0002838414,0.001585391,0.0001362038,0.0006251256,0.0002433131,0.0004627427,0.002864247],"category_scores_gemma":[0.007155861,0.0001662408,0.0002369927,0.0006900997,0.0003270887,0.0005755323,0.0001971568,0.0005092742,0.0005279595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001744257,"about_ca_system_score_gemma":0.0002839708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001058792,"about_ca_topic_score_gemma":0.001221725,"domain_scores_codex":[0.9997565,0.00006388599,0.0000401803,0.00002683627,0.00008096211,0.00003173081],"domain_scores_gemma":[0.9952824,0.002258396,0.001213337,0.0001613439,0.0007247896,0.0003598197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001004376,0.00009600619,0.9623685,0.00006344157,0.0001048976,0.00358962,0.00007321842,0.0004957243,0.0145632,0.0001225258,0.0003657257,0.01715277],"study_design_scores_gemma":[0.00001782001,0.0004694027,0.9747678,0.00003031416,0.000152306,0.01296347,0.000104466,0.005124235,0.005498605,0.0003829363,0.0004688363,0.00001976432],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878511,0.001671164,0.004254253,0.0003042229,0.00003825055,0.00006697277,0.0003559254,0.0001319782,0.005326124],"genre_scores_gemma":[0.9971601,0.0005914784,0.001453438,0.00002941735,0.00004355521,0.00001751027,0.0002168447,0.00002295531,0.0004647755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002864247,"threshold_uncertainty_score":0.009581864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01839382958716593,"score_gpt":0.2522738983622587,"score_spread":0.2338800687750928,"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."}}