{"id":"W2572337202","doi":"10.1007/978-3-319-45345-3_7","title":"ATP-Sensitive Potassium Channels (KATP) Play a Role in Hypoxic Preconditioning Against Neonatal Hypoxic-Ischemic Brain Injury","year":2017,"lang":"en","type":"book-chapter","venue":"Springer series in translational stroke research","topic":"Cardiac Ischemia and Reperfusion","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"ATP-sensitive potassium channel; Neuroprotection; Potassium channel; Ischemic preconditioning; Inward-rectifier potassium ion channel; Kir6.2; Potassium channel blocker; Pharmacology; Ischemia; Hypoxia (environmental); Neuroscience; Medicine; Protein subunit; Anesthesia; Chemistry; Ion channel; Glibenclamide; Cardiology; Biology; Internal medicine; Endocrinology; Biochemistry; Receptor; Diabetes mellitus","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":[0.0001241605,0.0004486523,0.0002881132,0.0003961707,0.0002201687,0.0009209044,0.0004775194,0.0006911785,0.01600217],"category_scores_gemma":[0.0001215435,0.000135426,0.000213345,0.0005090398,0.00029571,0.001592288,0.0005071798,0.001199142,0.007010661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002974357,"about_ca_system_score_gemma":0.0002917962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002068405,"about_ca_topic_score_gemma":0.0004722808,"domain_scores_codex":[0.999963,0.000003283041,0.000002368704,0.000008702268,0.00001774721,0.000004776241],"domain_scores_gemma":[0.9999714,0.00001137498,0.000002962568,0.000001818309,0.000007639773,0.000004812544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001235161,0.00007577701,0.00006905421,0.001792231,0.00001280729,0.0002685295,0.0001729443,0.0003477243,0.0299528,0.04846312,0.1311033,0.7876183],"study_design_scores_gemma":[0.00000986897,0.00006108957,0.0003801269,0.0003674288,0.00001414232,0.000570288,0.00006709307,0.0002328394,0.005946064,0.01883509,0.9735042,0.00001166975],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.005550838,0.7284343,0.01368935,0.006551423,0.0111937,0.00005754689,0.0005037864,0.0003284234,0.2336907],"genre_scores_gemma":[0.02023233,0.574333,0.009085447,0.002347622,0.00351717,0.00009182515,0.0004622213,0.0001319118,0.3897985],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01600217,"threshold_uncertainty_score":0.0535326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02758331026511463,"score_gpt":0.3114633694564337,"score_spread":0.283880059191319,"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."}}