{"id":"W2154120487","doi":"10.1002/jwmg.336","title":"Managing ecological traps: Logging and sapsucker nest predation by bears","year":2012,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Trent University","funders":"","keywords":"Predation; Ursus; Nest (protein structural motif); Ecological trap; Ecology; Habitat; Biology; Logging; Beech; Geography; Population; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001201606,0.0001298336,0.0001118724,0.0003721682,0.0005687398,0.0004810558,0.0003406654,0.00021003,0.0009432301],"category_scores_gemma":[0.002128519,0.0001135144,0.000101606,0.0002250789,0.0003412385,0.0003317597,0.0003399882,0.0001651671,0.00008438453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006432584,"about_ca_system_score_gemma":0.0005218178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03240021,"about_ca_topic_score_gemma":0.1933014,"domain_scores_codex":[0.9995393,0.0001942477,0.00003058398,0.00007743088,0.00007964978,0.00007883438],"domain_scores_gemma":[0.9977618,0.0005539112,0.001067266,0.00008562924,0.0001617209,0.0003695715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003083906,0.00002689189,0.9984712,0.000003568668,0.000008435883,0.00002318308,0.0001334937,0.0000408946,0.000147254,0.0000109143,0.00005338887,0.001049847],"study_design_scores_gemma":[0.000001933196,0.00005014557,0.9990307,0.000002732939,0.000004887017,0.00004429363,0.0004242267,0.0002653308,0.00004804728,0.00001122303,0.0001151879,0.000001320045],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996946,0.00002367994,0.00002968222,0.00001415967,0.000001092434,0.000003450733,0.00003026415,8.355818e-7,0.0002023591],"genre_scores_gemma":[0.9997662,0.00001285767,0.00006572489,0.00001117345,0.000001616918,0.000002850682,0.00003895761,3.733818e-7,0.0001002356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03240021,"threshold_uncertainty_score":0.06442326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01057299280017735,"score_gpt":0.2216712885833569,"score_spread":0.2110982957831796,"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."}}