{"id":"W3030473001","doi":"10.3760/cma.j.issn.1005-1201.2009.03.002","title":"Application of a new mismatch model on evaluating infarct core and penumbra in acute ischemic stroke using CT perfusion source images","year":2009,"lang":"en","type":"article","venue":"Zhonghua fangshexian yixue zazhi","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Penumbra; Medicine; Perfusion scanning; Stroke (engine); Perfusion; Radiology; Angiography; Nuclear medicine; Core (optical fiber); Cardiology; Ischemia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001241805,0.0006967723,0.0004523031,0.001429861,0.00015687,0.0007332696,0.0003293162,0.0004326667,0.0008609445],"category_scores_gemma":[0.004782543,0.0001892161,0.0004450784,0.000477899,0.0002500179,0.000741543,0.0005229174,0.000264093,0.0002268724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003336491,"about_ca_system_score_gemma":0.0003976833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001675107,"about_ca_topic_score_gemma":0.001429379,"domain_scores_codex":[0.9995377,0.0001448439,0.00004613867,0.0001008354,0.0001283919,0.00004212448],"domain_scores_gemma":[0.9988346,0.0005586253,0.0002367626,0.0000705414,0.0002169256,0.00008263478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002587419,0.0002124667,0.8365991,0.0001048626,0.0003334081,0.0005157298,0.0001229971,0.04825595,0.01356963,0.0005396929,0.0005602128,0.09659871],"study_design_scores_gemma":[0.00007354411,0.001618679,0.2323306,0.00003092152,0.0002149754,0.0016534,0.0001930272,0.7548653,0.006788049,0.001483141,0.0006932415,0.00005509076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9210057,0.0004915242,0.07669641,0.0001110663,0.00003185673,0.0001361864,0.0003295309,0.0002584739,0.0009392957],"genre_scores_gemma":[0.9898386,0.00007425548,0.009633835,0.00001463081,0.00001301717,0.00005327697,0.0001701338,0.00001078189,0.0001914916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001675107,"threshold_uncertainty_score":0.006567359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03298031476588204,"score_gpt":0.3250708040411551,"score_spread":0.2920904892752731,"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."}}