{"id":"W4200277690","doi":"10.1002/ece3.8425","title":"Individual variation in feeding morphology, not diet, can facilitate the success of generalist species in urban ecosystems","year":2021,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Ciência sem Fronteiras; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; University of Victoria","keywords":"Generalist and specialist species; Biology; Ecology; Urbanization; Poecilia; Trophic level; Population; Phenotypic plasticity; Ecosystem; Trait; Guppy; Habitat; Fish <Actinopterygii>; Fishery; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002538004,0.0001230378,0.0001517874,0.0004478558,0.0003367025,0.0003060936,0.0001294028,0.0001601526,0.001537105],"category_scores_gemma":[0.000561438,0.0001086807,0.0001108457,0.0002783652,0.0004710403,0.0001947875,0.0004143945,0.0001742512,0.00008262186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000187516,"about_ca_system_score_gemma":0.0001098439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004001949,"about_ca_topic_score_gemma":0.01965519,"domain_scores_codex":[0.9998777,0.00003653508,0.000005990968,0.00004145209,0.00001546133,0.00002284508],"domain_scores_gemma":[0.9995399,0.00009845445,0.000176361,0.00004581755,0.00003830741,0.0001012938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001310089,0.00006003719,0.9529831,0.00003234026,0.0001167924,0.0001470675,0.0005287179,0.0002921349,0.03920778,0.000149453,0.0001002093,0.006251371],"study_design_scores_gemma":[3.923971e-7,0.00001542784,0.9994971,0.00000103812,0.000003972636,0.00003218138,0.0001400174,0.0001015977,0.000138682,0.00002107415,0.00004742255,0.000001143133],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996907,0.00001848074,0.00006704919,0.000006414388,2.919668e-7,0.000001054709,0.00001294969,0.000001500381,0.0002016999],"genre_scores_gemma":[0.9998166,0.00001091566,0.00008273866,0.000004062341,4.550854e-7,0.000001095785,0.00001384005,8.63364e-7,0.00006943659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004001949,"threshold_uncertainty_score":0.00795728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0189157847162623,"score_gpt":0.2083903530871134,"score_spread":0.1894745683708511,"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."}}