{"id":"W1534181866","doi":"10.3389/fneur.2015.00121","title":"Unbalanced Metalloproteinase-9 and Tissue Inhibitors of Metalloproteinases Ratios Predict Hemorrhagic Transformation of Lesion in Ischemic Stroke Patients Treated with Thrombolysis: Results from the MAGIC Study","year":2015,"lang":"en","type":"article","venue":"Frontiers in Neurology","topic":"Protease and Inhibitor Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; London Health Sciences Centre","funders":"","keywords":"Medicine; TIMP1; Odds ratio; Internal medicine; Intracerebral hemorrhage; Confidence interval; Stroke (engine); Thrombolysis; Matrix metalloproteinase; Gastroenterology; Cardiology; Myocardial infarction; Subarachnoid hemorrhage","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":[0.001645128,0.0005256602,0.0007196543,0.0004683263,0.0001708672,0.0006226176,0.0003248404,0.0003719986,0.0008746127],"category_scores_gemma":[0.003623866,0.0003022715,0.000720482,0.000520861,0.0002766074,0.0003394176,0.0004335984,0.0005379897,0.0002375318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000131918,"about_ca_system_score_gemma":0.0002485533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007763174,"about_ca_topic_score_gemma":0.0008633836,"domain_scores_codex":[0.9993582,0.0002796959,0.00006854177,0.0001249077,0.00012098,0.00004765641],"domain_scores_gemma":[0.9978363,0.0007973806,0.000669813,0.0002254852,0.0001471436,0.0003238735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00364312,0.0000787257,0.9924529,0.00001828622,0.0004481666,0.0000889583,0.00005521977,0.00007064852,0.0003686767,0.00001833925,0.0001217501,0.00263519],"study_design_scores_gemma":[0.0002696941,0.0006633491,0.9970998,0.000007724584,0.0005430165,0.0003614575,0.00007383159,0.0005455642,0.0001393272,0.00004603957,0.0002396959,0.00001042029],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990199,0.0002727228,0.0001490824,0.00002722929,0.000006129064,0.0000111485,0.0002718311,0.0000042867,0.0002377889],"genre_scores_gemma":[0.9990103,0.00009849449,0.000189498,0.00001390182,0.0000251836,0.00001122953,0.000554272,0.000003426183,0.00009376342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001645128,"threshold_uncertainty_score":0.008700371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00970746926349953,"score_gpt":0.2138947278587996,"score_spread":0.2041872585953001,"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."}}