{"id":"W2587681257","doi":"10.1002/jwmg.21223","title":"Predictable features attract urban coyotes to residential yards","year":2017,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures; Canadian Wildlife Federation; Alberta Conservation Association","keywords":"Wildlife; Geography; Foraging; Canis; Yard; Habitat; Human–wildlife conflict; Ecology; Wildlife disease; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0007469692,0.0001268847,0.0001911427,0.00008103248,0.0004962945,0.0001754101,0.0007677647,0.0000643194,0.0007378706],"category_scores_gemma":[0.000146464,0.0001100438,0.00009819015,0.00006920882,0.0001054213,0.0006253797,0.0004118688,0.0001844418,0.000260821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001311498,"about_ca_system_score_gemma":0.00001377974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001023869,"about_ca_topic_score_gemma":0.0001047931,"domain_scores_codex":[0.9986513,0.0000505122,0.0003540793,0.0001821838,0.0005094204,0.0002525226],"domain_scores_gemma":[0.9988807,0.00003036699,0.00048326,0.0004219367,0.00002415463,0.0001595478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000833548,0.00005994422,0.4313202,0.000006324307,0.00006088096,0.00008045611,0.0000918694,0.000537125,0.00004001632,0.0001523252,0.5655745,0.001993007],"study_design_scores_gemma":[0.0004338957,0.0001555967,0.8482152,0.0000381396,0.00006651616,0.00002204965,0.00006156395,0.00002108231,0.00005505577,0.0003935764,0.1504369,0.0001005077],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9311277,0.0000358171,0.0008204393,0.02725616,0.001250074,0.0002932964,0.000003320704,0.00001829801,0.03919489],"genre_scores_gemma":[0.9803432,0.00005046923,0.002738548,0.005628908,0.00047007,0.000007577697,0.000001118163,0.0000130329,0.01074712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.416895,"threshold_uncertainty_score":0.8079165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109250329867623,"score_gpt":0.248361623600315,"score_spread":0.2372691203016388,"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."}}