{"id":"W2809848571","doi":"10.1038/s41598-018-28175-6","title":"Impact of varying levels of hyperglycemia on clinicoradiographic outcomes after endovascular reperfusion treatment","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Research Foundation of Korea; Ministry of Science, ICT and Future Planning; National Research Foundation","keywords":"Medicine; Odds ratio; Hematoma; Confidence interval; Internal medicine; Modified Rankin Scale; Glycated hemoglobin; Cardiology; Diabetes mellitus; Type 2 diabetes; Surgery; Ischemia; Endocrinology; Ischemic stroke","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009116603,0.0002113341,0.0002989424,0.0003928684,0.0003083093,0.0008486814,0.0001906028,0.0002675999,0.0007891968],"category_scores_gemma":[0.003287371,0.0001075492,0.0005483731,0.000656462,0.000243794,0.0003830896,0.0003389104,0.0005912021,0.00009368798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004004679,"about_ca_system_score_gemma":0.0003339642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001418432,"about_ca_topic_score_gemma":0.002395584,"domain_scores_codex":[0.9990564,0.0003772634,0.0001302231,0.0001216845,0.0001619616,0.0001524893],"domain_scores_gemma":[0.9975941,0.0004970663,0.001270875,0.00009980468,0.000167298,0.0003707982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000730532,0.00008255239,0.9967308,0.000007817465,0.0001232927,0.00006607064,0.00002261017,0.00006594713,0.0001036929,0.00001500885,0.00005293131,0.001998733],"study_design_scores_gemma":[0.000008873315,0.0002726266,0.9991016,0.000005255481,0.00006857346,0.0001026669,0.00009189165,0.0001787966,0.00007887489,0.00003397599,0.00005199415,0.000004682772],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991112,0.0003092318,0.00006242751,0.00004443658,0.000009716097,0.000004405162,0.0001140187,0.000001896149,0.0003426663],"genre_scores_gemma":[0.9997798,0.00005076057,0.00002214907,0.00001561252,0.000009773124,0.000002602325,0.00009284294,5.602572e-7,0.0000259737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001418432,"threshold_uncertainty_score":0.00482136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03027756596687346,"score_gpt":0.3204945429486316,"score_spread":0.2902169769817581,"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."}}