{"id":"W2098866167","doi":"10.3171/jns.2004.101.4.0664","title":"Optimal blood glucose levels while using insulin to minimize the size of infarction in focal cerebral ischemia","year":2004,"lang":"en","type":"article","venue":"Journal of neurosurgery","topic":"Neurological and metabolic disorders","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Ischemia; Insulin; Blood sugar; Penumbra; Necrosis; Hypoglycemia; Infarction; Internal medicine; Neuroprotection; Blood pressure; Anesthesia; Cerebral infarction; Endocrinology; Diabetes mellitus; Myocardial infarction","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":[],"consensus_categories":[],"category_scores_codex":[0.0004578466,0.0001410155,0.0004936688,0.0002083145,0.00003262647,0.00001326956,0.0001195107,0.00008028851,0.00006040643],"category_scores_gemma":[0.001350393,0.00008991516,0.0002914399,0.0005448836,0.00008038768,0.0001243666,0.00005366893,0.0004742449,0.000002390138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002034796,"about_ca_system_score_gemma":0.0002180531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001865204,"about_ca_topic_score_gemma":0.000001053337,"domain_scores_codex":[0.9983674,0.00008480564,0.0007626013,0.0001478391,0.000390059,0.0002472844],"domain_scores_gemma":[0.9989066,0.0003082472,0.0003375379,0.000156729,0.0001244064,0.0001665446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002548552,0.001574432,0.04483539,0.00005829263,0.00009491784,0.0006287681,0.0003764365,0.009776061,0.9353763,0.00004053612,0.0002309929,0.004459299],"study_design_scores_gemma":[0.007698591,0.001236398,0.8348773,0.0002863512,0.0003190174,0.002697377,0.0002011859,0.00008321416,0.148134,0.0002201408,0.004020291,0.0002260888],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943426,0.0002598624,0.0001604264,0.004529824,0.0004409597,0.0001443188,0.000003933795,0.000006810133,0.0001113237],"genre_scores_gemma":[0.9943561,0.00008449223,0.001955207,0.003332462,0.0002278567,0.000001841166,2.440281e-7,0.0000159529,0.00002583245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7900419,"threshold_uncertainty_score":0.3666634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03958057656735661,"score_gpt":0.2770848760924018,"score_spread":0.2375042995250452,"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."}}