{"id":"W4295106314","doi":"10.1101/2022.09.09.507321","title":"Parallel genomic basis of age at maturity across spatial scales in Atlantic Salmon","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Dalhousie University; Centre de Géomatique du Québec; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Salmo; Evolutionary biology; Parallel evolution; Genetic architecture; SNP; Quantitative trait locus; Genetics; Single-nucleotide polymorphism; Gene; Phylogenetics; Genotype; Fishery; Fish <Actinopterygii>","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":[0.0001561027,0.000106336,0.0002029932,0.000482563,0.0001986168,0.0002808644,0.0001285235,0.000168758,0.001288076],"category_scores_gemma":[0.0003297542,0.0001181355,0.0002583279,0.000588085,0.0001910806,0.0001381047,0.0002975846,0.0002660973,0.0001152148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001181761,"about_ca_system_score_gemma":0.0001603347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005545655,"about_ca_topic_score_gemma":0.01075832,"domain_scores_codex":[0.9998951,0.00001375431,0.000006117877,0.00005233469,0.00001712876,0.00001553194],"domain_scores_gemma":[0.9996514,0.0001060113,0.0001239469,0.00003005823,0.00005067513,0.00003792519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004290504,0.00003864235,0.6098918,0.00008373647,0.000275032,0.0001729043,0.000414215,0.0007625336,0.375969,0.0002091619,0.0002307155,0.01152328],"study_design_scores_gemma":[0.000002301556,0.00001688678,0.9984401,0.000002307983,0.0000235893,0.00003406591,0.00005417253,0.0004641729,0.0007697978,0.00006469051,0.0001252088,0.000002755072],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983025,0.0001064883,0.0008235107,0.0000213777,0.000002303422,0.000002246328,0.0005070083,0.00001322578,0.0002214197],"genre_scores_gemma":[0.9985732,0.00004202495,0.0004948995,0.00002669901,0.000002930441,0.000006279308,0.0005367214,0.000006705876,0.0003105194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005545655,"threshold_uncertainty_score":0.01102674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110878932861899,"score_gpt":0.2292433678684998,"score_spread":0.2181345785398808,"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."}}