{"id":"W2145802061","doi":"10.1139/gen-2015-0001","title":"SNP in pre-miR-1666 decreases mature miRNA expression and is associated with chicken performance","year":2015,"lang":"en","type":"article","venue":"Genome","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China National Nuclear Corporation","keywords":"Biology; SNP; microRNA; Gene; Genetics; Population; Single-nucleotide polymorphism; Phenotype; Genotype; Body weight; Endocrinology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002506459,0.000403559,0.0002864283,0.0003786845,0.0001598369,0.0002239316,0.0001745347,0.0005282953,0.002182527],"category_scores_gemma":[0.0003986632,0.0002454219,0.0004115641,0.0002225453,0.0002352349,0.00009744713,0.0001523754,0.0004367091,0.0003706139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000123291,"about_ca_system_score_gemma":0.0001145202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007628196,"about_ca_topic_score_gemma":0.001386984,"domain_scores_codex":[0.999627,0.00007686606,0.00005789298,0.0001349408,0.00007336548,0.00002985665],"domain_scores_gemma":[0.9996196,0.00009859827,0.0001745398,0.00002860368,0.00002076304,0.00005789415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00143938,0.00006891036,0.03109494,0.00009828073,0.0001387761,0.0006660247,0.0001098159,0.0002003864,0.9625656,0.0001498408,0.0001680629,0.003300045],"study_design_scores_gemma":[0.0001351979,0.0007946712,0.8232374,0.00003363552,0.0004111721,0.004769801,0.0001476892,0.004019763,0.1625578,0.0003586639,0.003488999,0.00004517184],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968637,0.0003527457,0.001858697,0.00005991443,0.00003106059,0.000008604879,0.0003998252,0.00004152249,0.0003840756],"genre_scores_gemma":[0.9969151,0.00007622268,0.001784791,0.00004992779,0.000008908662,0.00001273545,0.0003100561,0.00002844802,0.000813846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002182527,"threshold_uncertainty_score":0.007301211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01035025152453259,"score_gpt":0.2285925690249394,"score_spread":0.2182423175004068,"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."}}