{"id":"W2765257073","doi":"10.1111/bph.14039","title":"Targeting inflammation to reduce cardiovascular disease risk","year":2017,"lang":"en","type":"editorial","venue":"British Journal of Pharmacology","topic":"Fatty Acid Research and Health","field":"Nursing","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Engineering and Physical Sciences Research Council; British Heart Foundation","keywords":"Section (typography); Clinical pharmacology; Inflammation; Medicine; Disease; Library science; Pharmacology; Bioinformatics; Biology; Internal medicine; Computer science","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":[0.004838158,0.003055274,0.002350331,0.002126832,0.001737354,0.003737194,0.002155665,0.009655501,0.0102481],"category_scores_gemma":[0.01565042,0.0006014517,0.001556824,0.0009086659,0.001794939,0.00304899,0.001247081,0.01798774,0.008177098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002077552,"about_ca_system_score_gemma":0.002595334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001163062,"about_ca_topic_score_gemma":0.003060219,"domain_scores_codex":[0.9971706,0.0005419895,0.0003940479,0.0002597052,0.001474104,0.0001595082],"domain_scores_gemma":[0.9905651,0.004800744,0.0003785537,0.0002019329,0.002861606,0.001192028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006076571,0.00003142901,0.000033208,0.0005240724,0.00002046986,0.0001351087,0.00003674379,0.00003238631,0.0001001133,0.0007185667,0.9743534,0.02395374],"study_design_scores_gemma":[0.00007046968,0.00008740802,0.0003102272,0.00106045,0.00006048333,0.0003864396,0.00008652417,0.00009554326,0.0001644545,0.001554137,0.9961076,0.00001605293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00005337527,0.01832952,0.0001062232,0.03833892,0.941013,0.00001809767,0.00002425222,0.00003753385,0.002079047],"genre_scores_gemma":[0.0008259154,0.03381586,0.0002003095,0.03035879,0.921919,0.00002884829,0.00002798201,0.00003316171,0.01279025],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.0102481,"threshold_uncertainty_score":0.03428328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01698104532950069,"score_gpt":0.3488697119022112,"score_spread":0.3318886665727105,"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."}}