{"id":"W2897240153","doi":"10.1111/eva.12721","title":"Urbanization erodes niche segregation in Darwin's finches","year":2018,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Universidad San Francisco de Quito; Sigma Xia; Earthwatch Institute; Secretaría Nacional de Ciencia, Tecnología e Innovación; McGill University; University of Massachusetts Boston","keywords":"Urbanization; Niche; Biology; Ecology; Finch; Niche segregation; Ecological niche; Niche differentiation; Diversification (marketing strategy); Geography; Habitat","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":[0.000104068,0.0001180807,0.0001798919,0.0004673879,0.0002844488,0.0002794285,0.0001308919,0.0001862648,0.001249085],"category_scores_gemma":[0.0002915532,0.0001479999,0.0001534184,0.0002057204,0.0004773801,0.0001646446,0.0004846753,0.0002033853,0.0001266255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003838152,"about_ca_system_score_gemma":0.0001783466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005508569,"about_ca_topic_score_gemma":0.01880061,"domain_scores_codex":[0.9999088,0.000015747,0.000003945354,0.00003466689,0.00001418047,0.00002269979],"domain_scores_gemma":[0.9998059,0.00003438635,0.00006550436,0.00001741685,0.00001829678,0.00005839807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005085419,0.00006950489,0.756245,0.0000653156,0.0001136315,0.0004492463,0.001407559,0.002499991,0.2170166,0.0005530184,0.000405122,0.02066641],"study_design_scores_gemma":[0.000002067765,0.00003849393,0.9986816,0.000001970755,0.000003727014,0.00005594845,0.000115729,0.0003955897,0.0003908724,0.00009506175,0.0002143688,0.000004532107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995341,0.00002590623,0.00007438226,0.00001165666,5.239463e-7,7.194959e-7,0.0000205033,0.00000621405,0.0003261263],"genre_scores_gemma":[0.9996694,0.0000143736,0.000079037,0.0000138897,7.32202e-7,0.00000201611,0.00003126924,0.000003088854,0.000186166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005508569,"threshold_uncertainty_score":0.01095301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03016357931429032,"score_gpt":0.2098059868448231,"score_spread":0.1796424075305328,"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."}}