{"id":"W4206679857","doi":"10.5751/ace-01893-160229","title":"Effects of future climate change on the geographical distribution of a bird endemic to South American floodplains","year":2021,"lang":"en","type":"article","venue":"Avian Conservation and Ecology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de Mato Grosso; Instituto Nacional de Ciência e Tecnologia em Áreas Umidas","keywords":"Floodplain; Geography; Ecology; Endemism; Climate change; Distribution (mathematics); Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001314918,0.00007891151,0.0001535092,0.00002045721,0.00009228492,0.000006374328,0.00007033412,0.00005876076,0.00123861],"category_scores_gemma":[0.0001087265,0.00006212616,0.00004175458,0.0003962142,0.000252702,0.00003035798,0.0000887844,0.00007388301,0.00006956681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005104588,"about_ca_system_score_gemma":0.00000622786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001418238,"about_ca_topic_score_gemma":0.00177021,"domain_scores_codex":[0.9992931,0.00009840938,0.0001562785,0.000173861,0.0001027759,0.0001755036],"domain_scores_gemma":[0.9995304,0.000152216,0.0001057882,0.0001253494,0.00002346346,0.0000627859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005497428,0.00011994,0.9779238,0.00002937641,0.0000130382,0.000004134097,0.0006521398,0.000001112282,0.004767014,0.01323557,0.001182167,0.002016815],"study_design_scores_gemma":[0.0002179609,0.0001746888,0.9915333,0.000008900365,0.0000153729,0.000003598883,0.001482419,0.00003792314,0.002137764,0.00003596724,0.004290262,0.00006189297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864758,0.00001781966,0.00001854276,0.01284977,0.0001034164,0.0002039926,0.0001171774,0.00001778937,0.0001956509],"genre_scores_gemma":[0.9946449,0.0001740937,0.00001171618,0.005024106,0.00002273044,0.000047595,0.00006035979,0.000005057696,0.000009447894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01360953,"threshold_uncertainty_score":0.9996744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433046121513285,"score_gpt":0.2249481672039832,"score_spread":0.2106177059888504,"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."}}