{"id":"W2258322897","doi":"10.1890/15-0252","title":"Gene–environment interactions influence feeding and anti‐predator behavior in wild and transgenic coho salmon","year":2016,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Aquarium","funders":"Natural Sciences and Engineering Research Council of Canada; Vetenskapsrådet; Sixth Framework Programme; Svenska Forskningsrådet Formas","keywords":"Biology; Hatchery; Phenotypic plasticity; Predator; Affect (linguistics); Gene–environment interaction; Genetically modified organism; Environmental enrichment; Phenotype; Transgene; Ecology; Ecosystem; Predation; Zoology; Genotype; Fish <Actinopterygii>; Gene; Genetics; Fishery; Psychology","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":[0.00006531835,0.00008173784,0.00007609248,0.00002370587,0.00008454127,0.00001093597,0.00005847272,0.00008237153,0.00002347348],"category_scores_gemma":[0.00001063156,0.00005858533,0.00002078288,0.00003925115,0.0001282628,0.000005235936,0.00006804217,0.00005006196,0.000009164736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001447153,"about_ca_system_score_gemma":0.000007818363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003915435,"about_ca_topic_score_gemma":0.00001547658,"domain_scores_codex":[0.9993184,0.000015903,0.0001400429,0.0003667242,0.0000394511,0.0001194309],"domain_scores_gemma":[0.9997334,0.00001277361,0.00003690453,0.0001439733,0.00001311375,0.00005985159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000008600765,0.0001044266,0.06290527,0.00000258548,0.000005335169,3.121025e-7,0.000008029961,0.00001141542,0.9312884,0.00009211985,0.00001781608,0.005555746],"study_design_scores_gemma":[0.0002232616,0.0001359705,0.9280432,0.000003340449,0.00001800264,0.00002410912,0.00002050277,0.000007746235,0.05890242,0.000148071,0.01235531,0.0001181046],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973006,0.0002163432,0.001488202,0.0005412219,0.00001614552,0.0003513313,0.00001547752,0.000008330346,0.00006240409],"genre_scores_gemma":[0.9966103,0.001895118,0.0007952761,0.00004225274,0.00006691892,0.0003944619,0.00001169242,0.000006605828,0.0001773285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8723859,"threshold_uncertainty_score":0.238904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009977784260822863,"score_gpt":0.2444422408614941,"score_spread":0.2344644566006713,"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."}}