{"id":"W3175369128","doi":"10.1096/fasebj.27.1_supplement.688.8","title":"Excessive vascular smooth muscle and macrophage proliferation underlies impaired coronary collateral growth in the metabolic syndrome","year":2013,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Biomarkers in Disease Mechanisms","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Proliferating cell nuclear antigen; Cell growth; Internal medicine; Metabolic syndrome; Endocrinology; Medicine; Immunohistochemistry; Biology; Pathology; Biochemistry","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":[0.0003166904,0.0004022829,0.000281345,0.0004587762,0.0001317729,0.0001624844,0.0001278592,0.0003435873,0.0007662431],"category_scores_gemma":[0.0002424563,0.0001779142,0.0001470063,0.0001919273,0.0004637703,0.0001552698,0.0002616417,0.0005167585,0.00009687437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001667623,"about_ca_system_score_gemma":0.0001709831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003588796,"about_ca_topic_score_gemma":0.0004577879,"domain_scores_codex":[0.9998616,0.00004788803,0.00001668621,0.00002273719,0.00002754624,0.00002351696],"domain_scores_gemma":[0.9997966,0.00003146362,0.0000904626,0.00001893516,0.00001157846,0.00005106158],"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":[0.002684574,0.0002896852,0.03568121,0.0001413263,0.00003017211,0.001824468,0.00006958575,0.0002108581,0.952112,0.0004663393,0.0001064928,0.006383209],"study_design_scores_gemma":[0.0004069231,0.007020498,0.7057937,0.00007934475,0.0002513493,0.0146937,0.000309014,0.003870227,0.26446,0.001118355,0.00195774,0.00003900105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983442,0.0006070909,0.000632225,0.00005828856,0.000004951093,0.00001551472,0.00006081037,0.00001347969,0.000263524],"genre_scores_gemma":[0.9985372,0.0004992868,0.0006823687,0.00002358943,0.00001468242,0.00002162072,0.00006895555,0.000002336062,0.0001500017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007662431,"threshold_uncertainty_score":0.002563357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008960923543887193,"score_gpt":0.2071166724835802,"score_spread":0.198155748939693,"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."}}