{"id":"W2888945442","doi":"10.1071/wr18006","title":"Evaluating wildlife management by using principles of applied ecology: case studies and implications","year":2018,"lang":"en","type":"article","venue":"Wildlife Research","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"U.S. Fish and Wildlife Service; University of Canberra","keywords":"Wildlife management; Wildlife; Context (archaeology); Wildlife conservation; Environmental resource management; Ecology; Biodiversity; Landscape ecology; Empirical evidence; Empirical research; Geography; Environmental planning; Biology; Habitat; Environmental 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":[0.07386899,0.00106396,0.0009494807,0.003974578,0.002830168,0.00634003,0.003204058,0.002867863,0.001499015],"category_scores_gemma":[0.06020347,0.0004279088,0.0007221572,0.006809353,0.008562462,0.004855583,0.004335172,0.002239874,0.000135295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0101193,"about_ca_system_score_gemma":0.007782138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005088295,"about_ca_topic_score_gemma":0.01207001,"domain_scores_codex":[0.8859317,0.09970738,0.003028297,0.00124287,0.008409741,0.001680091],"domain_scores_gemma":[0.8548943,0.1281722,0.006180174,0.003936687,0.005950993,0.0008656699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005506871,0.008217846,0.09061304,0.009454516,0.0004183039,0.005136108,0.06172599,0.06312973,0.002237719,0.2275676,0.005961928,0.5249866],"study_design_scores_gemma":[0.0009392407,0.01199195,0.1025807,0.02795503,0.0008743105,0.004124667,0.2985872,0.1003606,0.01375515,0.3121468,0.1261709,0.0005134153],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7559808,0.01568975,0.1112436,0.01476931,0.0002046547,0.006741424,0.0002338122,0.00009602104,0.09504056],"genre_scores_gemma":[0.9078038,0.00645685,0.0820723,0.0008288526,0.00003868647,0.001936469,0.00004519104,0.00001964413,0.0007983801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07386899,"threshold_uncertainty_score":0.3906612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2057947941787565,"score_gpt":0.4402277568286461,"score_spread":0.2344329626498896,"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."}}