{"id":"W1902896728","doi":"10.1111/j.1558-5646.2010.01200.x","title":"A TEST FOR THE GENETIC BASIS OF NATURAL SELECTION: AN INDIVIDUAL-BASED LONGITUDINAL STUDY IN A STREAM-DWELLING FISH","year":2010,"lang":"en","type":"article","venue":"Evolution","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Biology; Selection (genetic algorithm); Natural selection; Evolutionary biology; Genetic variation; Heritability; Salvelinus; Quantitative genetics; Microevolution; Genetics; Population; Trout; Fish <Actinopterygii>; Demography; Fishery; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003022279,0.00006691754,0.00007313384,0.00003753957,0.0002121537,0.000008343722,0.0001278872,0.00003278433,0.0001759819],"category_scores_gemma":[0.00009533006,0.00005273009,0.00002248444,0.0002064451,0.0001023602,0.00009629873,0.00005244408,0.0001158361,0.000005247713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004961047,"about_ca_system_score_gemma":0.000007023831,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004310721,"about_ca_topic_score_gemma":0.1116346,"domain_scores_codex":[0.9994174,0.00002842223,0.0001231234,0.0001768526,0.000115358,0.0001388635],"domain_scores_gemma":[0.9996517,0.000159988,0.0000574053,0.0001083542,0.000009519103,0.00001306933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001761865,0.0003205596,0.9950453,0.000003927936,0.00001275168,3.17354e-7,0.0001686494,0.002626824,0.0001285458,0.00001366163,0.001172636,0.0004892076],"study_design_scores_gemma":[0.0004273706,0.0002895169,0.9821178,0.000001980321,0.00004300799,4.406903e-7,0.000259744,0.016495,0.00008644074,0.0001190976,0.0001021138,0.00005750342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977346,0.000006668499,0.001093853,0.0003113863,0.0001564135,0.0005507206,0.000004530336,0.00001528422,0.0001265206],"genre_scores_gemma":[0.9987248,0.000001160746,0.0009905807,0.00006489227,0.00003521478,0.0001151875,0.000003205816,0.000003974771,0.00006098382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1112036,"threshold_uncertainty_score":0.9045757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0151070292318112,"score_gpt":0.2468240313134696,"score_spread":0.2317170020816584,"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."}}