{"id":"W3030360599","doi":"10.3760/cma.j.issn.1005-1201.2009.03.003","title":"Diagnostic value of CT perfusion source images in superacute stroke","year":2009,"lang":"en","type":"article","venue":"Zhonghua fangshexian yixue zazhi","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Perfusion; Perfusion scanning; Stroke (engine); Nuclear medicine; Wilcoxon signed-rank test; Radiology; Internal medicine; Mann–Whitney U test","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":[0.0003971525,0.0003627922,0.0002461016,0.00110298,0.0001549782,0.0003703905,0.0002341472,0.000349856,0.001527282],"category_scores_gemma":[0.003003263,0.0001357866,0.0001890902,0.0003087304,0.0002802812,0.0003582407,0.0003529214,0.0002533742,0.0002612277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001702822,"about_ca_system_score_gemma":0.0001924171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006347579,"about_ca_topic_score_gemma":0.0008551503,"domain_scores_codex":[0.999779,0.0000547773,0.0000302666,0.00003289741,0.00004935727,0.00005370019],"domain_scores_gemma":[0.9986107,0.0002892575,0.0005961765,0.00003920518,0.0001497482,0.0003148628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005450164,0.0000387082,0.9927992,0.00001488349,0.00002254182,0.0008781928,0.00003669358,0.00006221321,0.001216415,0.00001383376,0.00005366066,0.004318726],"study_design_scores_gemma":[0.00001701281,0.0003433916,0.9945568,0.00001012055,0.00001986844,0.003713411,0.0001064221,0.0006243874,0.0004388014,0.00005409832,0.0001098957,0.000005783043],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992064,0.0002204528,0.0001173228,0.00002525035,0.000003585858,0.000006064755,0.00004788253,0.000004048028,0.0003690402],"genre_scores_gemma":[0.9996386,0.00005977658,0.0001280436,0.000009110855,0.00001104894,0.000003591314,0.00008999152,7.33969e-7,0.0000591239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001527282,"threshold_uncertainty_score":0.005109251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008727428506519946,"score_gpt":0.2699044764407917,"score_spread":0.2611770479342718,"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."}}