{"id":"W2535052416","doi":"10.1186/s12862-016-0788-8","title":"Genetic and phenotypic variation along an ecological gradient in lake trout Salvelinus namaycush","year":2016,"lang":"en","type":"article","venue":"BMC Evolutionary Biology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"U.S. Geological Survey; Dalhousie University; Great Lakes Fishery Commission","keywords":"Salvelinus; Biology; Trout; Ecology; Ecotype; Cline (biology); Genetic variation; Limnetic zone; Isolation by distance; Local adaptation; Salmonidae; Population; Gene flow; Salmo; Fishery; Littoral zone","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001164631,0.0001279325,0.0001266191,0.00006580215,0.00007889437,0.000005744523,0.0001203889,0.0002888079,0.000119236],"category_scores_gemma":[0.00008668393,0.00009659535,0.00003966262,0.00006021168,0.0001330695,0.000006681179,0.00009952885,0.0000500707,0.00002010988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002292558,"about_ca_system_score_gemma":0.00006106173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002854715,"about_ca_topic_score_gemma":0.001845653,"domain_scores_codex":[0.9988962,0.0001998587,0.0002043943,0.000420849,0.00005328263,0.0002253852],"domain_scores_gemma":[0.999584,0.00002925237,0.00006542814,0.0001928196,0.00004903936,0.00007950402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001196866,0.00008070808,0.9508626,0.000005274883,0.0000145622,0.000002171223,0.0000461284,0.0001475022,0.04369736,0.001815509,0.0001362421,0.003072278],"study_design_scores_gemma":[0.0008182568,0.0003290672,0.9866408,0.000003694083,0.000009645903,0.00003443605,0.00001898471,0.0001271943,0.0001076972,0.003441265,0.008318658,0.0001503003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992888,0.0004489932,0.005913516,0.0001451692,0.0002203724,0.000153194,0.00009452632,0.00001366192,0.0001226222],"genre_scores_gemma":[0.993787,0.00008259521,0.005443213,0.0001387748,0.0001934819,0.00001235176,0.0001841952,0.000006782948,0.0001516336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04358967,"threshold_uncertainty_score":0.3939044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01354665362108811,"score_gpt":0.2320584523935713,"score_spread":0.2185117987724832,"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."}}