{"id":"W2151984251","doi":"","title":"Façons d’identifier et de prendre en charge la dyslipidémie athérogène: Une conséquence métabolique de l’obésité et du diabète","year":2013,"lang":"fr","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Gynecology; Humanities; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02483813,0.0008710739,0.002270664,0.001375413,0.0005177273,0.004134648,0.001272739,0.002415626,0.008799738],"category_scores_gemma":[0.06454714,0.0006784821,0.003348015,0.002194689,0.001538127,0.002963986,0.001325723,0.00366743,0.001014946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001432777,"about_ca_system_score_gemma":0.003220902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004675072,"about_ca_topic_score_gemma":0.005214085,"domain_scores_codex":[0.9808859,0.01193171,0.002120016,0.001905822,0.002823916,0.0003326597],"domain_scores_gemma":[0.9267786,0.05495798,0.01039147,0.002513978,0.004737461,0.0006205885],"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":[0.01713348,0.0005304044,0.1419495,0.1193351,0.08459911,0.0005008964,0.002322715,0.001793883,0.003485189,0.01889127,0.03729425,0.5721642],"study_design_scores_gemma":[0.005808881,0.004127607,0.3066313,0.1219316,0.1775742,0.002857499,0.002992757,0.003820708,0.006866418,0.07796812,0.2888652,0.0005557336],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04389757,0.8987625,0.008047599,0.03536442,0.002982858,0.0002496629,0.001828817,0.00006731399,0.008799271],"genre_scores_gemma":[0.484423,0.4553078,0.01250567,0.03072134,0.007981104,0.0008203306,0.002192159,0.0001357872,0.005912797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02483813,"threshold_uncertainty_score":0.1313581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008338295385010281,"score_gpt":0.24196413702048,"score_spread":0.2336258416354697,"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."}}