{"id":"W2045041555","doi":"10.1016/j.cjca.2014.07.229","title":"MACROPHAGE SUBSETS: CONTRASTING ROLES IN THE DEVELOPMENT OF MYOCARDIAL FIBROSIS","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Cardiac Fibrosis and Remodeling","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sirius Red; Medicine; Fibrosis; Angiotensin II; Inflammation; Macrophage; Flow cytometry; CX3CR1; Myocardial infarction; Pathology; Chemokine; Internal medicine; Immunology; Receptor; Chemokine receptor; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001204662,0.0003051973,0.0005750089,0.001042319,0.0003501696,0.0010428,0.0002926367,0.0005499937,0.000986911],"category_scores_gemma":[0.0008724527,0.000295109,0.0002859759,0.0003050888,0.0004880767,0.0005502567,0.0006739387,0.0008276185,0.0002880932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002564217,"about_ca_system_score_gemma":0.0004192321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003966557,"about_ca_topic_score_gemma":0.0008685747,"domain_scores_codex":[0.9991798,0.0002837968,0.00007547636,0.00007217888,0.0001672966,0.0002213414],"domain_scores_gemma":[0.9995314,0.0001052904,0.0001006608,0.00003701141,0.0001033453,0.0001223436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01047288,0.0006382608,0.18955,0.0006224801,0.0001493258,0.001834934,0.001877117,0.0004625156,0.7070688,0.009276346,0.0006902071,0.07735711],"study_design_scores_gemma":[0.0007289401,0.00350201,0.8579866,0.0005028936,0.0003846663,0.007110171,0.006671763,0.002315655,0.09919983,0.007359409,0.01413075,0.0001072885],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880257,0.008245121,0.0009589345,0.0003944836,0.00003582598,0.00002920954,0.00009583763,0.000008303415,0.002206618],"genre_scores_gemma":[0.994772,0.002887422,0.0009046985,0.0001682656,0.00008106889,0.0000539487,0.000088896,0.000007495934,0.001036098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001204662,"threshold_uncertainty_score":0.006370962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500366012747591,"score_gpt":0.237667178013242,"score_spread":0.2226635178857661,"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."}}