{"id":"W2335169544","doi":"10.1017/s0317167100018539","title":"Impact of Glucose Fluctuation on Acute Cerebral Infarction in Type 2 Diabetes","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Hyperglycemia and glycemic control in critically ill and hospitalized patients","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science and Technology Major Project","keywords":"Medicine; Glycemic; Internal medicine; Diabetes mellitus; Type 2 Diabetes Mellitus; Cardiology; Homocysteine; Modified Rankin Scale; Logistic regression; Cerebral infarction; Infarction; Type 2 diabetes; Stroke (engine); Myocardial infarction; Endocrinology; Insulin; Ischemic stroke; Ischemia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003622506,0.0002306555,0.0002630978,0.0004309653,0.0002167182,0.0003866325,0.0001344605,0.0002138855,0.0007609117],"category_scores_gemma":[0.001628068,0.00007194206,0.0002848317,0.0007341998,0.0001294057,0.0002250433,0.0002178826,0.0003325339,0.0001036566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001652009,"about_ca_system_score_gemma":0.0001511575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001244908,"about_ca_topic_score_gemma":0.001495995,"domain_scores_codex":[0.9997229,0.00007489048,0.00004252417,0.00005118633,0.00006168871,0.00004668015],"domain_scores_gemma":[0.9990545,0.0001625597,0.0005106694,0.00004248366,0.00008288756,0.0001469071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006461958,0.00004029137,0.9926733,0.00002051484,0.00007377518,0.0003750839,0.00002830894,0.00009950568,0.0004322007,0.0000102821,0.00005296974,0.005547566],"study_design_scores_gemma":[0.000003467809,0.0001475067,0.9988053,0.000004785411,0.00002965596,0.0005419545,0.00003538639,0.0002449147,0.00008284461,0.00001825427,0.00008323526,0.000002718778],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980361,0.001141018,0.0001727884,0.00004128819,0.00001171826,0.000005406647,0.0001303734,0.000004946923,0.0004565545],"genre_scores_gemma":[0.9993417,0.0002705305,0.0001041427,0.00001537203,0.00002817845,0.000003310146,0.0001622848,0.000001191272,0.00007322671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001244908,"threshold_uncertainty_score":0.002545536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02170348169518077,"score_gpt":0.2936390449567428,"score_spread":0.271935563261562,"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."}}