{"id":"W2552474304","doi":"10.1139/cjfas-2016-0023","title":"Empirical evidence of plasticity in life-history characteristics across climatic and fish density gradients","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Freshwater Fisheries Society of BC; Ministry of Natural Resources and Forestry; Ministry of Forests","funders":"Natural Sciences and Engineering Research Council of Canada; Habitat Conservation Trust Foundation; Ministry of Forests, Lands and Natural Resource Operations; Freshwater Fisheries Society of British Columbia","keywords":"Life history theory; Biology; Ecology; Competition (biology); Juvenile; Phenotypic plasticity; Rainbow trout; Environmental change; Density dependence; Life history; Productivity; Reproduction; Population; Climate change; Fish <Actinopterygii>; Fishery; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0008505012,0.0001436493,0.0001915779,0.0004629432,0.0002633488,0.0003308588,0.0003332371,0.0002595012,0.00152153],"category_scores_gemma":[0.004141387,0.0001737551,0.0001731004,0.0003944383,0.001161525,0.0003273982,0.0006034028,0.0003308207,0.0001234143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002886273,"about_ca_system_score_gemma":0.0002427452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005294095,"about_ca_topic_score_gemma":0.01449455,"domain_scores_codex":[0.9995807,0.0001420449,0.00003643245,0.0001339772,0.00006626511,0.00004055034],"domain_scores_gemma":[0.9960758,0.001685721,0.001134473,0.0005969897,0.0002845743,0.0002224117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006985316,0.00007256331,0.9845617,0.00002088697,0.0001362748,0.00004015517,0.0003092651,0.0004050312,0.009450033,0.0001527131,0.00009018763,0.004691334],"study_design_scores_gemma":[0.000001388543,0.000016948,0.99944,0.000001294857,0.000006334758,0.0000268,0.00005651948,0.0001723598,0.0001768136,0.00005470747,0.00004460603,0.000002333131],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992092,0.00004504973,0.0001955066,0.0000259492,9.824698e-7,0.000002243253,0.0000542575,0.000003710469,0.0004630795],"genre_scores_gemma":[0.999698,0.00001860694,0.0001321379,0.00001559694,0.000001167054,0.000002384476,0.00007003244,0.000001723938,0.00006044433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005294095,"threshold_uncertainty_score":0.01052654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05087654429588023,"score_gpt":0.2517676121084284,"score_spread":0.2008910678125482,"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."}}