{"id":"W2088331272","doi":"10.1016/j.neulet.2011.03.056","title":"Hyperthermia up-regulates matrix metalloproteinases and accelerates basement membrane degradation in experimental stroke","year":2011,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"S100 Proteins and Annexins","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Health Canada; National Institutes of Health","keywords":"Matrix metalloproteinase; Laminin; Basement membrane; Stroke (engine); Hyperthermia; Ischemia; Brain damage; Medicine; Internal medicine; Endocrinology; Extracellular matrix; Biology; Cell biology; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009163606,0.0001289972,0.00008982701,0.00006029109,0.00007697091,0.00004162923,0.0001551092,0.00003785943,0.00002827167],"category_scores_gemma":[0.00002099603,0.0001132997,0.00003239976,0.00008501007,0.0001396436,0.00002168859,0.00008204282,0.00005062089,0.000001639341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007745794,"about_ca_system_score_gemma":0.00001345277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001215904,"about_ca_topic_score_gemma":0.00002247073,"domain_scores_codex":[0.9991232,0.00003848983,0.0001303178,0.0003719574,0.0001210312,0.0002150666],"domain_scores_gemma":[0.9997263,0.000003325952,0.00004373549,0.0001637373,0.000009806923,0.00005307505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003269262,0.00004891938,0.003300596,0.000004036465,0.000001696566,0.000007376064,0.00005087837,0.000007725004,0.9959138,0.00002598749,0.0000339375,0.0005723302],"study_design_scores_gemma":[0.0003096533,0.0001858735,0.008886999,0.000005629685,0.000002929069,0.00001131218,0.00008737372,0.00009375405,0.9896356,0.000002903987,0.0006467884,0.0001312153],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990454,0.0002292774,0.00007133027,0.0002349379,0.0001264734,0.0002072041,0.000004610502,0.00001089033,0.00006983019],"genre_scores_gemma":[0.9977993,0.00004109411,0.0004831371,0.001333413,0.0000313247,0.0000418901,0.000007046348,0.0000114894,0.0002513353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006278257,"threshold_uncertainty_score":0.4620228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02915677318871727,"score_gpt":0.2547552547208308,"score_spread":0.2255984815321135,"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."}}