{"id":"W2043827672","doi":"10.1007/s00267-004-1041-6","title":"Pitfalls of Applying Adaptive Management to a Wolf Population in Algonquin Provincial Park, Ontario","year":2006,"lang":"en","type":"article","venue":"Environmental Management","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; University of Waterloo","funders":"Johnson and Johnson; University of Waterloo; Ministry of Natural Resources; World Wildlife Fund","keywords":"Population; Falsifiability; Context (archaeology); Null hypothesis; National park; Adaptive management; Canis; Carnivore; Geography; Ecology; Population size; Biology; Demography; Archaeology; Predation; Sociology; Economics; Econometrics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003999613,0.0001790053,0.0002273245,0.0006472243,0.006705658,0.001859089,0.002463996,0.0009246635,0.0009688225],"category_scores_gemma":[0.01451722,0.0002202016,0.0001787233,0.00121849,0.002469244,0.0005980654,0.001133864,0.001004269,0.000091111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0276808,"about_ca_system_score_gemma":0.06338564,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9800305,"about_ca_topic_score_gemma":0.9964628,"domain_scores_codex":[0.997153,0.0009401074,0.0001881088,0.0002282462,0.0009093864,0.0005811154],"domain_scores_gemma":[0.9922165,0.002130996,0.0009506568,0.0004267675,0.00317421,0.001100933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001872257,0.0001996247,0.7860627,0.0003244907,0.0001221563,0.001904298,0.02153135,0.005007607,0.00163337,0.003710727,0.01343907,0.1658775],"study_design_scores_gemma":[0.00006427829,0.000190249,0.9262274,0.0003244606,0.0001299658,0.0008186319,0.04524224,0.005276266,0.0008732123,0.002092833,0.01869876,0.0000616066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637827,0.0006846901,0.001015547,0.01715908,0.00007619902,0.0001481286,0.0001841615,0.00002797754,0.01692161],"genre_scores_gemma":[0.9961211,0.0003338613,0.00149093,0.0007738962,0.00002206271,0.00003434232,0.00003603873,0.000006169523,0.001181505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0276808,"threshold_uncertainty_score":0.2008392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004974495864086141,"score_gpt":0.1742137762467807,"score_spread":0.1692392803826946,"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."}}