{"id":"W2156106918","doi":"10.1093/eurheartj/eht022","title":"C-reactive protein and cholesterol are equally strong predictors of cardiovascular risk and both are important for quality clinical care","year":2013,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; C-reactive protein; Cholesterol; Intensive care medicine; Internal medicine; Inflammation","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":[0.04618485,0.001015838,0.003259579,0.004448308,0.002082896,0.009253244,0.002263372,0.007555281,0.008946728],"category_scores_gemma":[0.1257396,0.0008029072,0.001600016,0.005501732,0.005110855,0.007588545,0.004636445,0.009025822,0.004001426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003757198,"about_ca_system_score_gemma":0.01018501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00891253,"about_ca_topic_score_gemma":0.00613257,"domain_scores_codex":[0.9620519,0.01625102,0.005391914,0.002821597,0.01223935,0.001244157],"domain_scores_gemma":[0.8013392,0.1021283,0.03415765,0.008110008,0.04502581,0.009239058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009648086,0.0004491246,0.09448071,0.004614531,0.001284239,0.0005243393,0.0009938488,0.001017514,0.0009941427,0.04636413,0.193928,0.6543846],"study_design_scores_gemma":[0.0003950304,0.0008036119,0.1360041,0.01344103,0.001240549,0.002244108,0.002031807,0.001820571,0.00126623,0.1451198,0.6950588,0.000574275],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.009145642,0.3232276,0.02239119,0.5974704,0.0143657,0.0002775549,0.001699902,0.0003130828,0.03110883],"genre_scores_gemma":[0.246026,0.3490477,0.08346619,0.2307925,0.07305061,0.001116393,0.002986414,0.0004430534,0.01307124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04618485,"threshold_uncertainty_score":0.2442518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05293648742176985,"score_gpt":0.331730120212436,"score_spread":0.2787936327906662,"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."}}