{"id":"W1986999526","doi":"10.1159/000311079","title":"Malignant Profile Detected by CT Angiographic Information Predicts Poor Prognosis despite Thrombolysis within Three Hours from Symptom Onset","year":2010,"lang":"en","type":"article","venue":"Cerebrovascular Diseases","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Fondation pour la Recherche Médicale; Bundesministerium für Bildung und Forschung; Heart and Stroke Foundation of Canada","keywords":"Medicine; Thrombolysis; Interquartile range; Modified Rankin Scale; Stroke (engine); Intracerebral hemorrhage; Hematoma; Radiology; Perfusion scanning; Internal medicine; Angiography; Thrombus; Cardiology; Perfusion; Ischemia; Ischemic stroke","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001864808,0.0004625499,0.0005654744,0.0003949801,0.0001734324,0.0001679037,0.0003731922,0.000144852,0.0007863175],"category_scores_gemma":[0.0003339089,0.0003913604,0.0006893017,0.0007603909,0.0002360134,0.0005636495,0.0002015537,0.0003446909,0.0001849429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006810876,"about_ca_system_score_gemma":0.0001552925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004593206,"about_ca_topic_score_gemma":0.00006532346,"domain_scores_codex":[0.9972317,0.00006085227,0.0005906734,0.0005870153,0.0009876685,0.0005421355],"domain_scores_gemma":[0.9978698,0.00007199329,0.0003071837,0.001011496,0.0002262912,0.0005131962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001303387,0.0004863375,0.9241515,0.0002166939,0.003041854,0.0000237917,0.0001671159,0.000005513636,0.01244565,0.00001261238,0.05323341,0.00608522],"study_design_scores_gemma":[0.003497824,0.0002212986,0.9350729,0.0003487013,0.005498121,0.00003542642,0.0002679564,0.001228613,0.04894613,0.00007344127,0.004195168,0.0006144035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932443,0.0008618753,0.001023512,0.0003377966,0.0003271649,0.0020147,0.001331096,0.0005796885,0.0002798811],"genre_scores_gemma":[0.9917494,0.00007383465,0.00259167,0.000510325,0.0001604217,0.0005925761,0.004204274,0.00006895207,0.00004856081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04903824,"threshold_uncertainty_score":0.9998538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004824781124784299,"score_gpt":0.2025695836091197,"score_spread":0.1977448024843354,"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."}}