{"id":"W4392883268","doi":"10.1111/eva.13653","title":"Investigating structural variant, indel and single nucleotide polymorphism differentiation between locally adapted Atlantic salmon populations","year":2024,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Salmo; Genetics; Indel; Single-nucleotide polymorphism; Genotyping; Local adaptation; Evolutionary biology; Structural variation; Population; Genome; Genotype; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000249442,0.0001677517,0.0003063351,0.00110821,0.000401428,0.0003987276,0.0002667,0.0002502571,0.001502242],"category_scores_gemma":[0.0005410964,0.00009228076,0.0003445772,0.0009442479,0.0002845931,0.00009302751,0.0002848768,0.0002541062,0.0002326327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004889251,"about_ca_system_score_gemma":0.0004908677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04433329,"about_ca_topic_score_gemma":0.1250903,"domain_scores_codex":[0.9997646,0.00002885209,0.00001924322,0.000104335,0.00004719212,0.00003576194],"domain_scores_gemma":[0.9995354,0.0001192644,0.0001123694,0.00003837211,0.0001125672,0.00008202279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004742812,0.00004434114,0.7232351,0.0001226301,0.0004623019,0.0005044198,0.0009931383,0.0006498244,0.2602371,0.0001455847,0.0001624802,0.01296892],"study_design_scores_gemma":[0.000005875402,0.00007700922,0.9962533,0.000008742802,0.00006095434,0.0001542769,0.0003193228,0.0007509474,0.001882934,0.00002226764,0.0004561422,0.00000821578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988686,0.0000654286,0.00039678,0.00000665519,0.00000137547,0.000007970842,0.0004262967,0.000007497975,0.0002193918],"genre_scores_gemma":[0.9977651,0.00003304562,0.0009631088,0.00001885877,0.000001963703,0.00001118517,0.0008601562,0.000007054726,0.00033949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04433329,"threshold_uncertainty_score":0.08815044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104602824032647,"score_gpt":0.2430043921916805,"score_spread":0.221958363951354,"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."}}