{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004049311,0.000224395,0.000230385,0.0003450742,0.0003813946,0.0005098325,0.0001741331,0.0002532235,0.0008227928],"category_scores_gemma":[0.0007076396,0.0001317056,0.0002786567,0.0002522971,0.0003331596,0.0001819638,0.0003033217,0.0002654132,0.00009922423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006299825,"about_ca_system_score_gemma":0.0002815473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03821745,"about_ca_topic_score_gemma":0.09076583,"domain_scores_codex":[0.9998273,0.00003958269,0.00002124433,0.00004181527,0.00002067552,0.00004947917],"domain_scores_gemma":[0.999027,0.0001866535,0.0003453514,0.00004485334,0.00007969084,0.0003164991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001603287,0.00003679955,0.9980944,0.000007917014,0.00004978043,0.00005067646,0.00008753217,0.0001470628,0.0005650128,0.000009910048,0.00009071732,0.0006997991],"study_design_scores_gemma":[0.000001303435,0.000007740199,0.9998046,0.000001167687,0.000003938995,0.000007176307,0.00005464643,0.00006916466,0.00001864262,0.000001441173,0.00002963177,6.636527e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995514,0.00006537324,0.000007641693,0.00002292734,0.000003334424,0.000001527837,0.0001497772,0.000002019913,0.0001959921],"genre_scores_gemma":[0.9994417,0.00006245721,0.00002259077,0.00001411501,0.000005532686,0.000004106316,0.0003304875,0.000001158425,0.0001179405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03821745,"threshold_uncertainty_score":0.07599002,"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."}}