{"id":"W2026097600","doi":"10.1161/circresaha.114.305675","title":"Targeting MicroRNAs to Limit Myocardial Lipid Accumulation","year":2015,"lang":"en","type":"letter","venue":"Circulation Research","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"microRNA; Lipid metabolism; Limit (mathematics); Lipid accumulation; Cardiology; Medicine; Chemistry; Cell biology; Biology; Internal medicine; Biochemistry; Gene; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00142802,0.0007138504,0.0009605267,0.0003521258,0.0006797665,0.001504239,0.0005592689,0.007691999,0.003419534],"category_scores_gemma":[0.00476447,0.0002823306,0.0005909441,0.0001986432,0.001141934,0.0009223937,0.0006168605,0.009558433,0.002025574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00111166,"about_ca_system_score_gemma":0.0006748108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003361244,"about_ca_topic_score_gemma":0.0008592113,"domain_scores_codex":[0.9994769,0.0001380232,0.00007100943,0.00006877765,0.0001656149,0.00007970445],"domain_scores_gemma":[0.9989111,0.0006507974,0.00009219194,0.00006354068,0.0001370326,0.0001452513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002362693,0.0005791696,0.00296674,0.0005569778,0.0001545729,0.006940296,0.0002113731,0.0006434571,0.03052438,0.02318192,0.7031496,0.2287289],"study_design_scores_gemma":[0.002330889,0.00145807,0.003384794,0.0003988117,0.0002287728,0.006229247,0.0002922828,0.003199025,0.0298408,0.03434595,0.9181646,0.0001268554],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01322768,0.02629725,0.002455805,0.9011296,0.04124934,0.000105228,0.0001639215,0.000232535,0.01513868],"genre_scores_gemma":[0.1629019,0.03128464,0.006487096,0.6432118,0.1174775,0.000500968,0.0001784077,0.0001183245,0.03783932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007691999,"threshold_uncertainty_score":0.0114395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1335840259905225,"score_gpt":0.3929610800874722,"score_spread":0.2593770540969497,"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."}}