{"id":"W1991356771","doi":"10.1258/ar.2012.110582","title":"The evolution of the cerebral blood volume abnormality in patients with ischemic stroke: a CT perfusion study","year":2012,"lang":"en","type":"article","venue":"Acta Radiologica","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Robarts Clinical Trials; Lawson Health Research Institute","funders":"Canadian Institutes of Health Research; Royal Society; Heart and Stroke Foundation of Canada","keywords":"Medicine; Perfusion; Perfusion scanning; Abnormality; Stroke (engine); White matter; Angiography; Nuclear medicine; Lesion; Acute stroke; Radiology; Infarction; Cerebral blood flow; Diffusion MRI; Cardiology; Internal medicine; Magnetic resonance imaging; Surgery; Myocardial infarction","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003337923,0.0003951935,0.0003335114,0.0006624369,0.000370124,0.0004030752,0.0002436583,0.0007169415,0.001365144],"category_scores_gemma":[0.002047422,0.0002616978,0.0002026951,0.0005006125,0.0004134487,0.0005583439,0.0002367431,0.0004174411,0.0003925891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002530763,"about_ca_system_score_gemma":0.0003067155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001066348,"about_ca_topic_score_gemma":0.001182545,"domain_scores_codex":[0.9998036,0.00003580193,0.000027499,0.00004914289,0.00003878161,0.00004521758],"domain_scores_gemma":[0.9993163,0.0001492412,0.0002077871,0.00004554568,0.00009321066,0.0001880011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005999154,0.00008569522,0.9951095,0.000007475671,0.00002240163,0.001019496,0.00005564555,0.00005224325,0.001542598,0.000007929766,0.00005437995,0.001442704],"study_design_scores_gemma":[0.00002052189,0.0007333348,0.9950325,0.000004637038,0.00002194826,0.003550595,0.00009836894,0.0001839931,0.0002435286,0.00001739389,0.00008831031,0.000004913294],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995881,0.00007715441,0.00006918234,0.00001305518,0.000001965997,0.000008635294,0.00005192138,0.000001826026,0.0001882354],"genre_scores_gemma":[0.9995531,0.000063611,0.00009476582,0.00001584953,0.00001176032,0.00001553589,0.0001747433,0.000001280228,0.00006922578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001365144,"threshold_uncertainty_score":0.004566908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006772382656503158,"score_gpt":0.2123485306738657,"score_spread":0.2055761480173625,"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."}}