{"id":"W3130666528","doi":"10.3389/fgene.2021.639355","title":"Identification of High-Confidence Structural Variants in Domesticated Rainbow Trout Using Whole-Genome Sequencing","year":2021,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agricultural Research Service; College of Engineering, Michigan State University; University of Victoria; Michigan State University; U.S. Department of Agriculture","keywords":"Rainbow trout; Biology; Genome; Genetics; Trout; DNA sequencing; Structural variation; Whole genome sequencing; Transposable element; Domestication; Evolutionary biology; Computational biology; DNA; Fish <Actinopterygii>; Fishery; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0006773362,0.0002947705,0.0003319618,0.0006706578,0.0002509826,0.0004587852,0.0002962239,0.0004127753,0.0009760895],"category_scores_gemma":[0.00110221,0.0002071486,0.0006737065,0.0006650476,0.0002688222,0.0002023518,0.0004760757,0.0003696657,0.0003058273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003415428,"about_ca_system_score_gemma":0.0003041177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003002969,"about_ca_topic_score_gemma":0.01034315,"domain_scores_codex":[0.9995893,0.000040797,0.00003630533,0.0001556739,0.0001301825,0.00004776234],"domain_scores_gemma":[0.9994842,0.0001302868,0.0001934987,0.00006858349,0.00008535215,0.00003808664],"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":[0.0002628886,0.00002752028,0.08450039,0.0001515533,0.0002307123,0.000420743,0.000357344,0.0006914447,0.9001206,0.0002297742,0.0002120774,0.01279496],"study_design_scores_gemma":[0.00003640891,0.000380156,0.8915641,0.00004636475,0.0003486718,0.001443874,0.0002883394,0.00437113,0.09630501,0.0002812536,0.004890691,0.00004402161],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881776,0.0003139137,0.008796344,0.00002972569,0.00001536736,0.00002284584,0.001963598,0.0001405734,0.0005401302],"genre_scores_gemma":[0.9774469,0.0002017119,0.01372149,0.00009807044,0.000009132914,0.00003151139,0.006971214,0.0001118909,0.001408242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003002969,"threshold_uncertainty_score":0.005970955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01407952468003868,"score_gpt":0.2464418895639685,"score_spread":0.2323623648839298,"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."}}