{"id":"W2901459009","doi":"10.1007/s00062-018-0745-6","title":"Automated CT Perfusion Imaging Versus Non-contrast CT for Ischemic Core Assessment in Large Vessel Occlusion","year":2018,"lang":"en","type":"article","venue":"Clinical Neuroradiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Western Hospital","funders":"Health and Medical Research Fund","keywords":"Medicine; Interquartile range; Perfusion scanning; Occlusion; Perfusion; Radiology; Nuclear medicine; Stroke (engine); Cerebral blood flow; Internal medicine","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":[0.001915375,0.0006118827,0.000951314,0.0009344046,0.0002291859,0.001225391,0.0005383237,0.0007179593,0.001713941],"category_scores_gemma":[0.008772721,0.0002609787,0.0005498988,0.0004655364,0.0004698492,0.001400497,0.0004400851,0.0006482218,0.0003500207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004078042,"about_ca_system_score_gemma":0.000539905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009078178,"about_ca_topic_score_gemma":0.002598479,"domain_scores_codex":[0.9990906,0.0004049698,0.00007599562,0.000130552,0.0001866205,0.0001113418],"domain_scores_gemma":[0.9960716,0.002709174,0.0003757776,0.0001919571,0.0003348427,0.0003166671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0694549,0.002109409,0.3167491,0.0009830154,0.001784331,0.001243403,0.0002759636,0.006503646,0.009086262,0.000950499,0.003271182,0.5875883],"study_design_scores_gemma":[0.004449295,0.03245636,0.818137,0.0007291185,0.006801375,0.007121847,0.0005894171,0.1037703,0.01442805,0.004021003,0.007263387,0.0002327719],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810268,0.008676748,0.005318088,0.0004898179,0.0003559791,0.0001481163,0.0001805627,0.00006500696,0.003738984],"genre_scores_gemma":[0.9938605,0.001505649,0.003606511,0.0001626053,0.000296899,0.00004271288,0.0001492768,0.00002028186,0.000355655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001915375,"threshold_uncertainty_score":0.01012963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04243319176660913,"score_gpt":0.4027180840453684,"score_spread":0.3602848922787593,"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."}}