{"id":"W2897697522","doi":"10.1093/jue/juy020","title":"Bird foraging is influenced by both risk and connectivity in urban parks","year":2018,"lang":"en","type":"article","venue":"Journal of Urban Ecology","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; The King's University","funders":"Goddard Space Flight Center","keywords":"Foraging; Predation; Habitat; Risk perception; Perception; Geography; Ecology; Optimal foraging theory; Resource (disambiguation); Environmental resource management; Biology; Environmental science; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005502515,0.0001629905,0.0002638102,0.000387639,0.0002762809,0.0005287288,0.000209564,0.0001971202,0.0006200363],"category_scores_gemma":[0.002079464,0.0001812692,0.0001786417,0.0002755735,0.000573192,0.0003559581,0.0005484701,0.0002664624,0.00004780727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002339352,"about_ca_system_score_gemma":0.0001184934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003564703,"about_ca_topic_score_gemma":0.01031633,"domain_scores_codex":[0.9996378,0.000217373,0.00001474002,0.00005897013,0.00002990359,0.00004106622],"domain_scores_gemma":[0.9981805,0.0009784617,0.0004457047,0.0001441303,0.00007749852,0.0001737283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007526597,0.0002787509,0.9583582,0.00006543292,0.0002097667,0.0002602807,0.001724014,0.006291368,0.02296187,0.0004014834,0.00007167987,0.008624626],"study_design_scores_gemma":[0.000004325997,0.000155242,0.994437,0.000004407401,0.00002422444,0.00007316863,0.0005461409,0.003915004,0.0005614208,0.0002193965,0.00005208153,0.000007566051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998047,0.000006911735,0.0001102238,0.000003467923,1.65126e-7,0.000001013168,0.000005412469,9.462664e-7,0.00006727071],"genre_scores_gemma":[0.9997919,0.000007673792,0.0001540254,0.000002095948,3.420686e-7,0.000002136064,0.00001267262,0.000001009371,0.00002815302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003564703,"threshold_uncertainty_score":0.007087946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005720170611270162,"score_gpt":0.2280634000399234,"score_spread":0.2223432294286532,"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."}}