{"id":"W2117299468","doi":"10.1111/j.1466-8238.2010.00616.x","title":"Global macroecology of bird assemblages in urbanized and semi-natural ecosystems","year":2010,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Ecology; Species richness; Urban ecology; Biodiversity; Macroecology; Urbanization; Geography; Abundance (ecology); Species evenness; Ecosystem; Habitat; Biology","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":[0.0003030445,0.0001748658,0.0001771244,0.001522748,0.0001913098,0.0005294522,0.0001462202,0.0001246887,0.00135798],"category_scores_gemma":[0.0005704924,0.0001239539,0.0002398743,0.001352028,0.0004681875,0.0004494202,0.0005330043,0.0001241099,0.0001234572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002828481,"about_ca_system_score_gemma":0.0001270333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007919844,"about_ca_topic_score_gemma":0.01917293,"domain_scores_codex":[0.9998291,0.00004131805,0.00001409376,0.00006277605,0.00002039284,0.0000324273],"domain_scores_gemma":[0.9993661,0.00007812905,0.0003516185,0.00006354289,0.00006216665,0.00007852331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004490009,0.00000756238,0.9938,0.00003714214,0.00008917374,0.00003483548,0.0003109028,0.000258392,0.001046528,0.0000939099,0.000139914,0.004136878],"study_design_scores_gemma":[3.163147e-7,0.000004745941,0.9997099,0.000001873099,0.000003406205,0.00001983061,0.00009521001,0.00005335915,0.0000134705,0.00001912256,0.00007798856,8.337885e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983386,0.0003295364,0.0001963717,0.00002884021,0.000002186062,0.000005182318,0.0005900975,0.000008675018,0.0005006096],"genre_scores_gemma":[0.9990131,0.0001233469,0.0001712236,0.000008955686,0.000002728295,0.000005963453,0.0005880331,0.000002815072,0.00008385202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007919844,"threshold_uncertainty_score":0.01574749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002409826144345384,"score_gpt":0.2017005244480655,"score_spread":0.1992906983037201,"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."}}