{"id":"W2991681230","doi":"10.1161/strokeaha.119.027213","title":"White Matter Hyperintensity Volume Influences Symptoms in Patients Presenting With Minor Neurological Deficits","year":2019,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Health Sciences Centre; George & Fay Yee Centre for Healthcare Innovation; University of Toronto; Sunnybrook Health Science Centre; Island Health; University of Victoria; University of Calgary","funders":"Genome Alberta; Genome British Columbia; Genome Canada; University of Pennsylvania; Heart and Stroke Foundation of Canada","keywords":"Medicine; Minor stroke; Emergency department; Hyperintensity; Stroke (engine); Odds ratio; Interquartile range; White matter; Cardiology; Internal medicine; Magnetic resonance imaging; Radiology; Psychiatry; Stenosis","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":[0.0006728522,0.0003371919,0.0003448256,0.0006084542,0.0002627787,0.0006614566,0.0003246719,0.0003945237,0.002085365],"category_scores_gemma":[0.005094904,0.000223476,0.0006780654,0.000525513,0.0003520251,0.0005056125,0.000521386,0.0004882477,0.0002235745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002123904,"about_ca_system_score_gemma":0.0003555359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001237043,"about_ca_topic_score_gemma":0.001619789,"domain_scores_codex":[0.9996402,0.0001075793,0.00005181288,0.0000826404,0.00005234451,0.00006542465],"domain_scores_gemma":[0.9967107,0.001100343,0.001468573,0.0001298902,0.0001523653,0.0004382257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002015801,0.0000174223,0.9986938,0.000006312708,0.00007238821,0.00007488334,0.00002326111,0.00004287801,0.0001324655,0.000009487339,0.0000500782,0.0006754613],"study_design_scores_gemma":[0.00000816902,0.0001189762,0.9989427,0.000004996194,0.00004482044,0.0003537896,0.00007333344,0.0002812346,0.00006291515,0.00003774281,0.00006831069,0.000003058437],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994056,0.0001372996,0.00006135166,0.0000549165,0.000007296234,0.000004390113,0.00009088987,0.000003062663,0.0002351968],"genre_scores_gemma":[0.9998068,0.0000221435,0.00003477769,0.000009692006,0.00001492793,0.000001921686,0.00007664066,0.000001218352,0.00003197284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002085365,"threshold_uncertainty_score":0.006976247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007022773346875354,"score_gpt":0.2105654551622344,"score_spread":0.203542681815359,"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."}}