{"id":"W2073065225","doi":"10.1159/000315076","title":"Regulation of Human Cardiac Ion Channel Genes by MicroRNAs: Theoretical Perspective and Pathophysiological Implications","year":2010,"lang":"en","type":"article","venue":"Cellular Physiology and Biochemistry","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"","keywords":"microRNA; Ion channel; In silico; Computational biology; Biology; Bioinformatics; Gene expression; Gene; Regulation of gene expression; Cell biology; Genetics; Receptor","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":[0.0004776908,0.0003544146,0.000353256,0.0004380849,0.0003079682,0.0006042732,0.0004369337,0.0005000021,0.001612233],"category_scores_gemma":[0.0009964348,0.0001812257,0.0004902701,0.0003731984,0.0006600907,0.0006561158,0.0003269431,0.0004778299,0.0003677918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004495288,"about_ca_system_score_gemma":0.0004809143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005300099,"about_ca_topic_score_gemma":0.0004543413,"domain_scores_codex":[0.9997962,0.00005768012,0.00001185763,0.00007787325,0.00003985757,0.00001660226],"domain_scores_gemma":[0.9996556,0.0002497169,0.00003308532,0.00001565498,0.00003616112,0.000009788278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003946883,0.0002399528,0.01075653,0.001378859,0.0001096439,0.001582104,0.0004882659,0.1241635,0.1449929,0.5846812,0.002504547,0.1287077],"study_design_scores_gemma":[0.00007516074,0.0004638957,0.005651056,0.0001340043,0.0001318857,0.001899156,0.000300776,0.4368118,0.05729124,0.4677883,0.02936383,0.00008885895],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.112233,0.02637267,0.8345555,0.005222335,0.0002392532,0.0000602496,0.0004945655,0.0002881865,0.0205343],"genre_scores_gemma":[0.8142931,0.01662179,0.1636986,0.0009793318,0.0002616455,0.0001766924,0.0004007487,0.00005478105,0.003513183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001612233,"threshold_uncertainty_score":0.005393505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00405742689910244,"score_gpt":0.223984960904148,"score_spread":0.2199275340050456,"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."}}