{"id":"W2110837538","doi":"10.1046/j.1365-294x.2002.01634.x","title":"Long‐term effective population sizes, temporal stability of genetic composition and potential for local adaptation in anadromous brown trout (<i>Salmo trutta</i>) populations","year":2002,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":176,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Salmo; Brown trout; Biology; Local adaptation; Population; Gene flow; Genetic variation; Selection (genetic algorithm); Fish migration; Adaptation (eye); Effective population size; Genetic structure; Evolutionary biology; Ecology; Genetics; Fishery; Habitat; Gene; Demography","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":[0.001271726,0.0001352056,0.0002449592,0.0008189771,0.0003843031,0.0005059335,0.0004692247,0.0002489428,0.0003329828],"category_scores_gemma":[0.0021053,0.0001559239,0.0002511379,0.0005396617,0.0006698725,0.0004008273,0.000367281,0.0002267563,0.00007952651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005427633,"about_ca_system_score_gemma":0.0001953097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004864785,"about_ca_topic_score_gemma":0.01061569,"domain_scores_codex":[0.9995866,0.00008889658,0.0000389436,0.0001865859,0.00005737635,0.00004148652],"domain_scores_gemma":[0.9985427,0.0005005522,0.000442403,0.00009640437,0.0002901672,0.000127753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001364275,0.00003137984,0.9687951,0.00002454337,0.0002463085,0.0001189295,0.0008689789,0.00318442,0.01791212,0.0003773855,0.00006213629,0.008242276],"study_design_scores_gemma":[0.000006822138,0.0000545801,0.9962197,0.000004414603,0.00004490617,0.0001219798,0.0002341901,0.002683677,0.0003274687,0.000146461,0.0001464813,0.000009395311],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996431,0.00007337533,0.0001890165,0.000004077541,4.608944e-7,7.77515e-7,0.00002734329,0.000001482331,0.00006024149],"genre_scores_gemma":[0.9995684,0.00003089468,0.0002253873,0.000002721205,0.000001704063,0.000003346734,0.000130418,0.000001169221,0.00003599231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004864785,"threshold_uncertainty_score":0.00967294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078623752544789,"score_gpt":0.2277562777110834,"score_spread":0.2169700401856355,"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."}}