{"id":"W3158550460","doi":"10.1111/mec.15946","title":"Innovative mark–recapture experiment shows patterns of selection on transcript abundance in the wild","year":2021,"lang":"en","type":"letter","venue":"Molecular Ecology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Biology; Selection (genetic algorithm); Evolutionary biology; Trait; Abundance (ecology); Natural selection; Salmo; Population; Phenotypic trait; Genetics; Gene; Computational biology; Ecology; Phenotype; Fish <Actinopterygii>; Fishery","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003170706,0.0003425453,0.0003551929,0.0003387607,0.0004576061,0.0006170886,0.0009019502,0.003193702,0.001379217],"category_scores_gemma":[0.004439081,0.0002562492,0.0003535378,0.0003058022,0.001463179,0.0005817384,0.0003348243,0.002870906,0.001742807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006765156,"about_ca_system_score_gemma":0.0001565192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004447124,"about_ca_topic_score_gemma":0.0007096424,"domain_scores_codex":[0.9983119,0.0006046122,0.000123107,0.0004516972,0.0004149005,0.00009390799],"domain_scores_gemma":[0.9943347,0.003452742,0.0006231493,0.0009100293,0.0005402364,0.0001391961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003345845,0.0003990516,0.03927276,0.0006608143,0.0003031028,0.01308509,0.000738988,0.001024049,0.3754721,0.02085217,0.2744627,0.2703834],"study_design_scores_gemma":[0.0004662445,0.002623678,0.1547215,0.0002223108,0.0003390332,0.03381525,0.001012052,0.01003831,0.2374892,0.03543209,0.5234473,0.0003929859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3391743,0.01763269,0.126875,0.4171354,0.03717953,0.00032481,0.004490986,0.002473603,0.0547136],"genre_scores_gemma":[0.633198,0.007942111,0.04020331,0.250058,0.01402454,0.0007551886,0.001153292,0.0003732199,0.0522924],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003193702,"threshold_uncertainty_score":0.01676852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01125219900557167,"score_gpt":0.2329506440352739,"score_spread":0.2216984450297023,"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."}}