{"id":"W4220819712","doi":"10.1016/j.phrs.2022.106157","title":"Targeting the residual cardiovascular risk by specific anti-inflammatory interventions as a therapeutic strategy in atherosclerosis","year":2022,"lang":"en","type":"review","venue":"Pharmacological Research","topic":"Inflammasome and immune disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Fonds de Recherche du Québec-Société et Culture","keywords":"Medicine; Inflammation; Atherosclerotic cardiovascular disease; Pathogenesis; Disease; Residual risk; Internal medicine; Intensive care medicine; Immunology; Bioinformatics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007798133,0.001058019,0.001981638,0.001416746,0.0002196321,0.001230403,0.0009780872,0.001350634,0.003375034],"category_scores_gemma":[0.0009156714,0.000276209,0.0005127564,0.001384004,0.0005645687,0.001123921,0.0007112124,0.003190088,0.002026471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004434788,"about_ca_system_score_gemma":0.0008001758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005070913,"about_ca_topic_score_gemma":0.001224509,"domain_scores_codex":[0.9998234,0.00003359634,0.00002468282,0.00003096029,0.00006577963,0.0000215922],"domain_scores_gemma":[0.999711,0.0001547889,0.00003542976,0.000009404153,0.00006198366,0.00002741588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002871231,0.0001616481,0.0001145824,0.01789764,0.0001564708,0.0002305229,0.00003559711,0.0005908533,0.003727804,0.006878414,0.04426377,0.9256554],"study_design_scores_gemma":[0.000116618,0.0002365676,0.000725865,0.004445699,0.0002607523,0.0009876264,0.0000518942,0.0002371635,0.0008826412,0.005708461,0.986313,0.00003382248],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006571557,0.9987582,0.0001753054,0.0002784634,0.0002872827,0.000004387357,0.00001807944,0.000006897781,0.0004055776],"genre_scores_gemma":[0.0004758398,0.9984125,0.0001982847,0.0002358708,0.0003057427,0.000007958301,0.00002666632,0.000001445849,0.0003357041],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003375034,"threshold_uncertainty_score":0.01129055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1928554365216155,"score_gpt":0.4364649042977161,"score_spread":0.2436094677761005,"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."}}