{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002028559,0.0001620047,0.0002003192,0.0003890325,0.000752428,0.0002335878,0.0003775569,0.0003334529,0.0007138379],"category_scores_gemma":[0.002268067,0.0001266212,0.0002742164,0.0003080657,0.0008281778,0.0003017347,0.0003945841,0.0003749435,0.0001221746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006136085,"about_ca_system_score_gemma":0.0007260608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03910449,"about_ca_topic_score_gemma":0.07275574,"domain_scores_codex":[0.9994962,0.0002194675,0.0000242504,0.0001109998,0.00007081529,0.00007818858],"domain_scores_gemma":[0.9984133,0.0003846053,0.0003903562,0.0002141911,0.0002407343,0.0003567466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00013769,0.0001499006,0.9940429,0.000003338591,0.00005711781,0.00005040533,0.0004598068,0.00005288941,0.003191732,0.00005206939,0.00004674432,0.001755375],"study_design_scores_gemma":[0.000007801205,0.0004101247,0.9981461,0.000002616413,0.00002072069,0.00005588949,0.0003871516,0.000639317,0.0001812736,0.00003365485,0.0001106206,0.000004716213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99979,0.000008581078,0.00009961114,0.00001229577,7.403248e-7,0.000003423469,0.00002893629,0.000001057096,0.00005530629],"genre_scores_gemma":[0.9993883,0.000008559358,0.0003387722,0.00001940836,0.000002018365,0.0000130523,0.00007829609,0.000001411052,0.0001500736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03910449,"threshold_uncertainty_score":0.07775378,"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."}}