{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007849422,0.00007288989,0.00006865126,0.00001380189,0.0003428903,0.00001582532,0.0001199979,0.00004879227,0.0002710121],"category_scores_gemma":[0.00002253399,0.00003422484,0.00002350697,0.0005050587,0.00008642398,0.0001199933,0.0000414075,0.00004997012,0.0002417123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003484868,"about_ca_system_score_gemma":0.000006756409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008996273,"about_ca_topic_score_gemma":0.001358903,"domain_scores_codex":[0.9994123,0.00002445859,0.000133187,0.0001960878,0.00009810991,0.000135861],"domain_scores_gemma":[0.999743,0.0000834156,0.00004385202,0.00002478185,0.00007662881,0.00002830247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005226654,0.0004699555,0.5692845,0.00001056204,0.000022505,0.000001152849,0.0002581895,0.00002732725,0.2437131,0.07122999,0.03123149,0.08369894],"study_design_scores_gemma":[0.00004288004,0.00004102161,0.9167485,0.000005928296,0.000003216835,0.000002240288,0.00007301528,0.0002890399,0.0004016833,0.005955829,0.07634915,0.00008746974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834827,0.0006138927,0.0002857078,0.003042683,0.00003247824,0.0004238216,0.0001005459,0.0001492316,0.01186898],"genre_scores_gemma":[0.9983603,0.00006160428,0.0003828617,0.00009858162,0.0003624542,0.0001339068,0.0001775525,5.894547e-7,0.0004221268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3474641,"threshold_uncertainty_score":0.3106804,"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."}}