{"id":"W4405375273","doi":"10.3390/jcdd11120402","title":"Identification and Evaluation of Angiogenesis-Related Proteins That Predict Major Adverse Cardiovascular Events in Patients with Peripheral Artery Disease","year":2024,"lang":"en","type":"article","venue":"Journal of Cardiovascular Development and Disease","topic":"Lipid metabolism and disorders","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto; St. Michael's Hospital","funders":"University of Toronto; Blair Foundation","keywords":"Medicine; Myocardial infarction; Internal medicine; Angiogenesis; Cohort; Stroke (engine); Biomarker; Coronary artery disease; Proportional hazards model; Cardiology; Disease; Cohort study; Oncology; Biology","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":[0.001633986,0.0001934319,0.0005139718,0.0003677919,0.00004915196,0.00002109243,0.00005497894,0.00005109776,0.00001229599],"category_scores_gemma":[0.0001206784,0.0001439686,0.0005818786,0.0002611196,0.00005940609,0.0003985437,0.00002908661,0.00009795435,0.00000106659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000939749,"about_ca_system_score_gemma":0.0009109235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004202299,"about_ca_topic_score_gemma":6.624778e-7,"domain_scores_codex":[0.9970927,0.0001966556,0.0005140744,0.0002835721,0.001746598,0.0001664273],"domain_scores_gemma":[0.9987566,0.0000100964,0.0001208776,0.000276782,0.0003771058,0.0004585311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001979274,0.0004660277,0.9184588,0.001530048,0.01061665,0.0001730928,0.0009359177,0.001689028,0.00002633677,0.00001990626,0.00004379733,0.06406109],"study_design_scores_gemma":[0.007551228,0.00004715826,0.9818834,0.0007972761,0.008166351,0.00001336181,0.0001403182,0.0003815248,0.00004637621,0.0001003143,0.0007100989,0.0001625819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8999368,0.0984102,0.0003900517,0.000059662,0.0001987028,0.0009644438,0.00001060245,0.00001128383,0.00001823687],"genre_scores_gemma":[0.9987812,0.0008165262,0.0001818225,0.00001323633,0.00006175966,0.00004689505,0.00005042821,0.00002396058,0.0000241677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09884439,"threshold_uncertainty_score":0.5870869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009592367538131998,"score_gpt":0.2152980852352772,"score_spread":0.2057057176971452,"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."}}