{"id":"W2943603458","doi":"10.1071/wr18001","title":"Bird community responses to changes in vegetation caused by increasing large mammal populations in the Serengeti woodlands","year":2019,"lang":"en","type":"article","venue":"Wildlife Research","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Species richness; Ecology; Habitat; Abundance (ecology); Woodland; Rarefaction (ecology); Biodiversity; Geography; National park; Context (archaeology); Biology; Vegetation (pathology); Snag; Wildebeest","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008238783,0.00009396,0.0001215857,0.000236158,0.0003701799,0.00004941181,0.0004201286,0.0001152929,0.0002019972],"category_scores_gemma":[0.0007992861,0.00007954513,0.00001654595,0.0009561274,0.00008934316,0.0002020057,0.000233703,0.0007560994,0.0008227574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002326107,"about_ca_system_score_gemma":0.00003471196,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01059022,"about_ca_topic_score_gemma":0.1579609,"domain_scores_codex":[0.9946461,0.003975373,0.0001965961,0.0002122,0.0004962024,0.0004735208],"domain_scores_gemma":[0.9982765,0.001217579,0.00003497726,0.0003865749,0.00001994066,0.00006444745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001220042,0.000154812,0.9916518,0.000008145525,0.000001871333,0.000003365971,0.00366406,0.0001238285,0.0006305827,0.0001086589,0.003241733,0.0002890779],"study_design_scores_gemma":[0.000437806,0.0001371081,0.9941345,0.00003322125,0.00000141259,0.000002014655,0.001592242,0.0005537633,0.00001115342,0.0003151207,0.002691264,0.00009041576],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822307,0.00002016512,0.000006830614,0.01619268,0.00004762203,0.0006160475,0.000006119832,0.00003256209,0.0008473406],"genre_scores_gemma":[0.9971702,0.00001064068,0.00007640968,0.002252596,0.00002470113,0.0001169854,0.00001975063,0.00001705169,0.0003116483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1473707,"threshold_uncertainty_score":0.9999552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09696394212855972,"score_gpt":0.363594627874314,"score_spread":0.2666306857457543,"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."}}