{"id":"W2127417976","doi":"10.1016/j.crad.2015.02.001","title":"Comparing perfusion CT evaluation algorithms for predicting outcome after endovascular treatment in anterior circulation ischaemic stroke","year":2015,"lang":"en","type":"article","venue":"Clinical Radiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Medicine; Ischaemic stroke; Perfusion; Perfusion scanning; Stroke (engine); Brain ischemia; Radiology; Cardiology; Algorithm; Internal medicine; Ischemia","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":[0.009548646,0.001221812,0.001481565,0.00287402,0.0004393422,0.003016697,0.001441495,0.001869577,0.001417579],"category_scores_gemma":[0.03541441,0.0005013057,0.001681633,0.0009174445,0.0006185354,0.002436478,0.001114741,0.001571988,0.0004561524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001352698,"about_ca_system_score_gemma":0.001225017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003557181,"about_ca_topic_score_gemma":0.003125301,"domain_scores_codex":[0.9967212,0.001619976,0.0004563297,0.0004482948,0.0004522322,0.0003019471],"domain_scores_gemma":[0.9814726,0.01383509,0.001093417,0.0008232028,0.002178018,0.0005977995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03182332,0.001462143,0.8148732,0.0002880672,0.003212086,0.0001466166,0.000347495,0.01743379,0.0010339,0.0007793111,0.002120439,0.1264797],"study_design_scores_gemma":[0.003708714,0.01363388,0.5724024,0.0004099059,0.004886277,0.0008723266,0.001180211,0.3921244,0.004068443,0.004842803,0.001664605,0.000206037],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880434,0.001624896,0.007335256,0.0004394045,0.0001973504,0.0002324546,0.0006039502,0.0001279495,0.001395216],"genre_scores_gemma":[0.9925125,0.0005471858,0.005440868,0.0001339325,0.00009923561,0.0001184309,0.0008598358,0.00004826543,0.0002396886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009548646,"threshold_uncertainty_score":0.05049866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1739117917909254,"score_gpt":0.4240774569057743,"score_spread":0.2501656651148488,"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."}}