{"id":"W3178692134","doi":"10.1017/cjn.2021.173","title":"Focusing on Single CT Perfusion Quantitative Maps: Percheron’s Artery Stroke Detection","year":2021,"lang":"en","type":"letter","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":"","funders":"","keywords":"Content (measure theory); Perfusion; Stroke (engine); Acute stroke; Medicine; Cardiology; Computer science; Internal medicine; Mathematics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000728656,0.0008902009,0.0009435447,0.001591097,0.001505407,0.001899018,0.001063193,0.009204963,0.004754221],"category_scores_gemma":[0.009195131,0.000566486,0.0007474562,0.0007997002,0.001438624,0.001875348,0.0006094325,0.008562924,0.003477205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001701911,"about_ca_system_score_gemma":0.001382136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004980625,"about_ca_topic_score_gemma":0.008634405,"domain_scores_codex":[0.9994223,0.00009655631,0.0001106692,0.00009998931,0.0001332183,0.0001373303],"domain_scores_gemma":[0.9973723,0.001254113,0.0001718401,0.0001802752,0.0005533043,0.0004681975],"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":[0.0004447222,0.0001906631,0.0277705,0.0003590702,0.00007199465,0.5978366,0.0002653381,0.0007368337,0.005481558,0.00368033,0.2626227,0.1005398],"study_design_scores_gemma":[0.0001869585,0.0002605942,0.01521218,0.0008071038,0.0001734674,0.817691,0.000591925,0.007313374,0.005022072,0.01642355,0.1361875,0.0001302134],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.08702469,0.01424756,0.01708056,0.6986828,0.02290554,0.0003899625,0.0003695518,0.0006629799,0.1586363],"genre_scores_gemma":[0.5904633,0.01590091,0.01838741,0.2060435,0.1418106,0.0002759448,0.0002752692,0.0003973984,0.02644564],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.009204963,"threshold_uncertainty_score":0.01590443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06802051385559835,"score_gpt":0.2834595591360859,"score_spread":0.2154390452804876,"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."}}