{"id":"W1995477734","doi":"10.1111/jeb.12250","title":"Lack of parallel genetic patterns underlying the repeated ecological divergence of beach and stream‐spawning kokanee salmon","year":2013,"lang":"en","type":"article","venue":"Journal of Evolutionary Biology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Ecotype; Local adaptation; Directional selection; Ecology; Oncorhynchus; Ecological selection; Genetic divergence; Evolutionary biology; Intraspecific competition; Fish migration; Phenotypic plasticity; Adaptation (eye); Selection (genetic algorithm); Population; Genetic variation; Habitat; Genetic diversity; Fishery; Gene; Fish <Actinopterygii>; Genetics","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":[0.0003041951,0.000151668,0.0002623099,0.0007190484,0.0005113327,0.0004706519,0.0003307324,0.000221783,0.0007902104],"category_scores_gemma":[0.0006580126,0.000237672,0.0002293236,0.0005341399,0.0006351392,0.0001453232,0.0005063632,0.0003380149,0.0001227776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006648594,"about_ca_system_score_gemma":0.0007941112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04296434,"about_ca_topic_score_gemma":0.1730018,"domain_scores_codex":[0.9995716,0.0000330099,0.00004421153,0.0001857344,0.00009747547,0.00006795274],"domain_scores_gemma":[0.9992784,0.0001218042,0.0002105007,0.00008185278,0.000187436,0.0001201091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002958059,0.00003000769,0.7216218,0.00006665373,0.0002048224,0.00008595891,0.001121439,0.0001154695,0.269925,0.0001078503,0.00005754834,0.006367669],"study_design_scores_gemma":[0.000003264766,0.0000265621,0.9984475,0.000002371775,0.00001851174,0.00004628188,0.0001930804,0.00007983579,0.001077023,0.00001722317,0.00008461341,0.000003709331],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995221,0.00002878782,0.0001325178,0.000005095974,6.446109e-7,0.000003617825,0.00009461478,0.000003635769,0.0002091561],"genre_scores_gemma":[0.9990158,0.00002876641,0.0003419412,0.00001923136,7.101824e-7,0.00001028166,0.0003158259,0.000004647509,0.0002627945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04296434,"threshold_uncertainty_score":0.08542854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03657708719591393,"score_gpt":0.2655608192768062,"score_spread":0.2289837320808923,"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."}}