{"id":"W2017109677","doi":"10.1002/jmri.22299","title":"Relationship between sodium intensity and perfusion deficits in acute ischemic stroke","year":2010,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Perfusion; Medicine; Cardiology; Stroke (engine); Internal medicine; Intensity (physics); Perfusion scanning; Ischemic stroke; Acute stroke; Ischemia; Tissue plasminogen activator; Physics","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":[0.000282888,0.0002342316,0.0002414212,0.0005083433,0.0002060033,0.0002748805,0.0001661688,0.0003254846,0.001062653],"category_scores_gemma":[0.002443381,0.0001452027,0.0001133387,0.0003206484,0.0003135172,0.0003574893,0.0002371202,0.0002575272,0.0002302451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002170612,"about_ca_system_score_gemma":0.0001502768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007962947,"about_ca_topic_score_gemma":0.0009566165,"domain_scores_codex":[0.9998455,0.00003533329,0.00003152003,0.00002702056,0.00003141949,0.00002914665],"domain_scores_gemma":[0.9989102,0.0002098002,0.0005471699,0.00003769428,0.00009596223,0.0001991266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008636042,0.00006868585,0.9941812,0.00001232877,0.00004149188,0.0002912224,0.00005676911,0.0000738171,0.001649216,0.00001178218,0.00003714189,0.002712753],"study_design_scores_gemma":[0.0000161791,0.0005336787,0.9978418,0.000002544234,0.00001968351,0.000905804,0.00005523211,0.0002236423,0.0003123242,0.00003408104,0.0000510256,0.000004006086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996923,0.0000771587,0.00005072695,0.00001411831,0.000001552726,0.00000345825,0.00002242127,0.000001937416,0.0001363176],"genre_scores_gemma":[0.9997821,0.00002958395,0.00005692784,0.000009962512,0.000004921714,0.000002871473,0.00005177114,8.124085e-7,0.00006105212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001062653,"threshold_uncertainty_score":0.00355494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352213781992009,"score_gpt":0.2621298613617031,"score_spread":0.248607723541783,"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."}}