{"id":"W3025217853","doi":"10.1002/ecs2.3119","title":"Effects of genetic origin on phenotypic divergence in Brook Trout populations stocked with domestic fish","year":2020,"lang":"en","type":"article","venue":"Ecosphere","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université du Québec à Chicoutimi; Ministère des Ressources naturelles et des Forêts; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Salvelinus; Phenotypic trait; Trout; Population; Stocking; Phenotypic plasticity; Zoology; Ecology; Genetic variation; Domestication; Phenotype; Genetics; Fishery; Gene; Fish <Actinopterygii>; Demography","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":[0.0006022129,0.0002469843,0.0002551436,0.0008546102,0.0003991229,0.0003838019,0.0002741126,0.0002372954,0.001182925],"category_scores_gemma":[0.0009895118,0.0001499658,0.0002641766,0.0003787804,0.000784102,0.0002222453,0.0007788552,0.0004070088,0.00007931286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004290207,"about_ca_system_score_gemma":0.0001835986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00292559,"about_ca_topic_score_gemma":0.007671052,"domain_scores_codex":[0.9995091,0.0001749722,0.00003915567,0.0001528972,0.00007740167,0.00004640521],"domain_scores_gemma":[0.9991335,0.0002871639,0.0002391431,0.00008850665,0.00008156555,0.0001700165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009464416,0.0001750802,0.8441253,0.00002609477,0.0003670853,0.0003233367,0.001070008,0.0003318689,0.1479863,0.0001844485,0.00006032932,0.004403613],"study_design_scores_gemma":[0.000005668955,0.0001283082,0.9985263,0.000001829548,0.00001919601,0.00006385748,0.0001956857,0.0002403986,0.0007454978,0.00003131968,0.00003755703,0.000004258223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998608,0.00001233389,0.00003932057,0.000002962839,6.78146e-7,6.692489e-7,0.00001976524,8.49198e-7,0.00006253931],"genre_scores_gemma":[0.9998155,0.000006374816,0.00005770577,0.000004989141,8.763922e-7,0.000002244923,0.00004948218,0.000001857863,0.00006103471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00292559,"threshold_uncertainty_score":0.005817115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00966389003903624,"score_gpt":0.225863218691131,"score_spread":0.2161993286520947,"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."}}