{"id":"W2889778517","doi":"10.1016/j.jacl.2018.08.012","title":"Lipoprotein(a) and secondary prevention of atherothrombotic events: A critical appraisal","year":2018,"lang":"en","type":"review","venue":"Journal of clinical lipidology","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Lipoprotein(a); Confounding; Population; Secondary prevention; Risk factor; Internal medicine; Disease; Critical appraisal; Coronary heart disease; Lipoprotein; Cholesterol; Pathology; Alternative medicine; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008391396,0.0003589769,0.006857106,0.0002660674,0.00004373493,0.000008363087,0.0002446488,0.001211259,0.0002977694],"category_scores_gemma":[0.0133159,0.0002435572,0.003356102,0.000189021,0.0006708576,0.0001000628,0.0001408456,0.002009185,0.00002518142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004362626,"about_ca_system_score_gemma":0.00220122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008720595,"about_ca_topic_score_gemma":0.000003498508,"domain_scores_codex":[0.9918106,0.002201125,0.004596865,0.0004162966,0.0006268395,0.0003483123],"domain_scores_gemma":[0.9926832,0.003107748,0.002502829,0.0006249722,0.0005906002,0.0004906307],"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":[0.0002434231,0.0005724718,0.0000510128,0.02414519,0.001634141,0.00003307052,0.00001814408,1.545359e-8,3.984118e-7,0.0002411856,0.001174438,0.9718865],"study_design_scores_gemma":[0.002233211,0.008098221,0.000668478,0.02184397,0.005362764,0.005253331,0.00001820838,0.000001285529,7.43828e-7,0.0007195541,0.9556105,0.0001897404],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007803367,0.9905701,0.0008465599,0.0003047006,0.006411328,0.0007707716,0.00001257546,0.000009752559,0.0002939077],"genre_scores_gemma":[0.0001941004,0.9776325,0.005543902,0.0001142757,0.0163382,0.00001548945,0.000008708492,0.00006009323,0.0000927263],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9716968,"threshold_uncertainty_score":0.9949954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1484425562686993,"score_gpt":0.5066070700772614,"score_spread":0.3581645138085621,"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."}}