{"id":"W2468885454","doi":"10.1097/rmr.0000000000000079","title":"Susceptibility-weighted Imaging in Neurovascular Disease","year":2016,"lang":"en","type":"review","venue":"Topics in Magnetic Resonance Imaging","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Neurovascular bundle; Susceptibility weighted imaging; Medicine; Radiology; Magnetic resonance imaging; Neuroimaging; Stroke (engine); Disease; Venous thrombosis; Thrombosis; Pathology; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0009093991,0.0005970723,0.001711381,0.0007867689,0.0000680294,0.00007874203,0.0005074309,0.0001456868,0.000774389],"category_scores_gemma":[0.0006246982,0.0004478217,0.0005135834,0.0008117916,0.0002799297,0.000163189,0.0002873551,0.001372612,0.0001918367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005554914,"about_ca_system_score_gemma":0.0006990589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008408351,"about_ca_topic_score_gemma":0.00002815017,"domain_scores_codex":[0.9954903,0.0004171836,0.001147108,0.00115114,0.0006970373,0.001097302],"domain_scores_gemma":[0.9979314,0.0002258887,0.0001319969,0.001289523,0.0001140841,0.0003071161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002818483,0.0001170574,0.02916187,0.00810379,0.000002197418,0.003879809,0.00002981459,5.066497e-8,0.000001244019,0.0001998465,0.0001242686,0.9583519],"study_design_scores_gemma":[0.001243787,0.00003083244,0.01273506,0.02500689,0.0001244533,0.0001672039,0.00001449142,0.003492681,8.607382e-7,0.0009635831,0.9556547,0.0005654313],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004627936,0.9937609,0.00003250404,0.0015007,0.0002299289,0.001625379,0.00001861133,0.00006829885,0.002300817],"genre_scores_gemma":[0.0001645075,0.9933338,0.0009933034,0.0002116982,0.0005241787,0.000219361,0.00003684667,0.0001027277,0.004413581],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9577864,"threshold_uncertainty_score":0.9997973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02226639889382744,"score_gpt":0.327444969349623,"score_spread":0.3051785704557956,"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."}}