{"id":"W2090165524","doi":"10.1159/000327778","title":"Interactions between Dietary Fat Intake and FASN Genetic Variation Influence LDL Peak Particle Diameter","year":2011,"lang":"en","type":"article","venue":"Lifestyle Genomics","topic":"Peroxisome Proliferator-Activated Receptors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canada Research Chairs; Université Laval; Sanofi","keywords":"Endocrinology; Internal medicine; Fatty acid synthase; Triglyceride; Single-nucleotide polymorphism; Quantitative trait locus; Obesity; Insulin resistance; Chemistry; Biology; Cholesterol; Gene; Medicine; Genotype; Genetics; Lipid metabolism","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000550893,0.0004812732,0.0002746044,0.0004939123,0.000380085,0.0004057167,0.0003672976,0.0003804679,0.004048814],"category_scores_gemma":[0.001213475,0.0001834733,0.0004147492,0.0005445339,0.0003688763,0.0001049091,0.0001938503,0.0002663009,0.0001966332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007098117,"about_ca_system_score_gemma":0.0007907524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1123118,"about_ca_topic_score_gemma":0.1164068,"domain_scores_codex":[0.999627,0.0001314131,0.00001802665,0.0001057102,0.00005603015,0.00006180834],"domain_scores_gemma":[0.9990783,0.0004853816,0.0001525047,0.00006566639,0.00008784353,0.0001303762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001807693,0.00009104402,0.9600095,0.00005382063,0.0008654853,0.0004533857,0.0001897327,0.0003574727,0.02743087,0.0002360637,0.000448541,0.008056362],"study_design_scores_gemma":[0.00001578455,0.00005388628,0.998257,0.000007507883,0.0001329547,0.000111239,0.00003202057,0.0007268556,0.0003745198,0.00008057529,0.0002036541,0.000004040635],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977124,0.0004264018,0.0005577197,0.0001143462,0.00001052707,0.000009762546,0.0004645289,0.00001891855,0.000685257],"genre_scores_gemma":[0.9985119,0.0000976066,0.0004706442,0.00003258734,0.000005546559,0.00001001589,0.0002049301,0.00001013325,0.0006565354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1123118,"threshold_uncertainty_score":0.2233163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0199430601440735,"score_gpt":0.2360241351743835,"score_spread":0.21608107503031,"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."}}