{"id":"W2171497898","doi":"10.1155/2012/628204","title":"Screen for Footprints of Selection during Domestication/Captive Breeding of Atlantic Salmon","year":2012,"lang":"en","type":"article","venue":"Comparative and Functional Genomics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"European Social Fund; National Cancer Institute; Academy of Finland; Eesti Teadusfondi","keywords":"Domestication; Biology; Salmo; Selection (genetic algorithm); Microsatellite; Evolutionary biology; Adaptation (eye); Genetic variation; Selective sweep; Single-nucleotide polymorphism; Centimorgan; Genetics; Haplotype; Allele; Fishery; Gene; Fish <Actinopterygii>; Gene mapping; Genotype; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003441228,0.000187636,0.000174115,0.0003079867,0.0001792851,0.0002111545,0.0003233872,0.0001849095,0.0005411493],"category_scores_gemma":[0.0004846296,0.0001245137,0.0002340024,0.000207368,0.0001939175,0.00008942051,0.000197086,0.000242832,0.00006141875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001412681,"about_ca_system_score_gemma":0.0001339715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001332557,"about_ca_topic_score_gemma":0.00295318,"domain_scores_codex":[0.9998916,0.00004689862,0.000006074137,0.00002180395,0.00001924453,0.00001438295],"domain_scores_gemma":[0.9995288,0.0002636317,0.0000884436,0.00003710567,0.0000359322,0.00004610659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005410939,0.0001281411,0.1959576,0.00007750406,0.0002507222,0.0004645558,0.0003118726,0.003917644,0.7807739,0.0002418665,0.00008314465,0.01725196],"study_design_scores_gemma":[0.00003291538,0.0008474812,0.9271899,0.00001275069,0.0002133223,0.0003899436,0.0003341116,0.02014882,0.0500853,0.0001665772,0.0005510849,0.00002772163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991398,0.00002232541,0.0006894842,0.00000425698,8.110469e-7,0.000003020313,0.00002955423,0.000005938294,0.0001048104],"genre_scores_gemma":[0.9981728,0.00002814828,0.001472621,0.0000169598,0.000001588834,0.0000109571,0.0001808836,0.000007519165,0.0001086503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001332557,"threshold_uncertainty_score":0.002649665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04220169227100896,"score_gpt":0.2707667144392137,"score_spread":0.2285650221682048,"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."}}