{"id":"W4393989904","doi":"10.1002/ece3.11068","title":"Variable parallelism in the genomic basis of age at maturity across spatial scales in Atlantic Salmon","year":2024,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; The Audio Recording Academy; 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; Parallel evolution; Single-nucleotide polymorphism; Evolutionary biology; Locus (genetics); SNP; Genetics; Genetic architecture; Genome-wide association study; Quantitative trait locus; Genetic variation; Allele; Gene; Phylogenetics; Genotype; Fishery","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":[0.0001760716,0.0001073483,0.0002126603,0.0004928915,0.0002185021,0.000273884,0.0001217827,0.0001916623,0.001076068],"category_scores_gemma":[0.000272233,0.0001220556,0.000242973,0.0005380992,0.0002227115,0.000126599,0.0002781044,0.0002237284,0.00009825697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001218223,"about_ca_system_score_gemma":0.0001453526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005321803,"about_ca_topic_score_gemma":0.01017481,"domain_scores_codex":[0.9998908,0.00001513747,0.000007245152,0.00005272878,0.0000176478,0.00001642008],"domain_scores_gemma":[0.9997099,0.00009824307,0.00009667109,0.0000252846,0.00003714498,0.0000326587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005442535,0.00003540182,0.606983,0.00006769833,0.0002655836,0.0001398952,0.0003320523,0.0005867282,0.3827124,0.000151071,0.0001512414,0.008030722],"study_design_scores_gemma":[0.000002466865,0.00001762593,0.9986818,0.00000151371,0.00001742829,0.00003164421,0.00004884954,0.0003683406,0.000718855,0.00003746443,0.00007194276,0.00000209291],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989869,0.00006824586,0.0004391494,0.00001207281,0.00000124551,0.000001769905,0.0003279583,0.000007434987,0.000155341],"genre_scores_gemma":[0.9990288,0.00002603116,0.0002845623,0.00001924038,0.000001868636,0.000005701374,0.0004327089,0.000003935691,0.0001970637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005321803,"threshold_uncertainty_score":0.01058167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006389264837269555,"score_gpt":0.2165400665515908,"score_spread":0.2101508017143213,"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."}}