{"id":"W2970823884","doi":"10.15517/rbt.v67i2supl.37252","title":"Effect of El Niño and La Niña on abundance of frugivorous and nectarivorous terrestrial birds in three tropical forests","year":2019,"lang":"en","type":"article","venue":"Revista de Biología Tropical","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Consejo Nacional para Investigaciones Científicas y Tecnológicas; Ministerio de Ciencia y Tecnología; Government of Ontario; University of Windsor","keywords":"Frugivore; Abundance (ecology); Ecology; Biology; Rainforest; Ecosystem; Population; Habitat","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001671353,0.0001465662,0.0004075705,0.00003355778,0.00002392514,0.000008090437,0.0001427632,0.0002449357,0.00008564517],"category_scores_gemma":[0.0001341766,0.0001060021,0.00005247265,0.00007880803,0.0005534498,0.00004184218,0.0001191387,0.0002206849,0.00001892805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005958492,"about_ca_system_score_gemma":0.00001182381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009807602,"about_ca_topic_score_gemma":0.0004157384,"domain_scores_codex":[0.9988163,0.0002832482,0.000266228,0.0003048503,0.00009573662,0.0002336555],"domain_scores_gemma":[0.9992019,0.0004470865,0.00009005574,0.0001883397,0.00000197006,0.00007064169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006215149,0.00009435371,0.9850445,0.00003777288,0.000005911499,0.00001598636,0.0000254151,0.000003871482,0.004163964,0.0003267026,0.00001000761,0.009649971],"study_design_scores_gemma":[0.001402793,0.002505484,0.9946653,0.00004918865,0.00002095737,0.00002396305,0.000002443733,0.0000669627,0.0007865238,0.0001301746,0.0002457918,0.0001004729],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992213,0.0001399023,0.00004258763,0.00004795559,0.00005178908,0.0003503572,0.000005928284,0.00001073366,0.0001293989],"genre_scores_gemma":[0.9997349,0.00003651538,0.0001382712,0.00002291991,0.00002641022,0.00001185225,0.00000162382,0.000008322189,0.00001920572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009620715,"threshold_uncertainty_score":0.432264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005478816742110976,"score_gpt":0.2478006753203202,"score_spread":0.2423218585782092,"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."}}