{"id":"W6999764906","doi":"","title":"DEVELOPING POPULATION CONTROL STRATEGIES FOR WILD BOAR MANAGEMENT IN CANADA","year":2021,"lang":"en","type":"article","venue":"Scholars Commons (Wilfrid Laurier University)","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wild boar; Domestication; Population; Population control; BOAR; Population growth; Wildlife management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002101085,0.0004381126,0.0002062678,0.002755824,0.00361359,0.003291831,0.002063196,0.0005237607,0.004169747],"category_scores_gemma":[0.002340903,0.0001852065,0.0003011763,0.002089811,0.001023914,0.0007411989,0.001288983,0.0007275469,0.0002739922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0653641,"about_ca_system_score_gemma":0.184466,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.988039,"about_ca_topic_score_gemma":0.9954305,"domain_scores_codex":[0.9987167,0.0001653982,0.00003844898,0.00008493523,0.0005722741,0.0004221694],"domain_scores_gemma":[0.9968732,0.0001858238,0.000152151,0.00002424384,0.002263075,0.0005015267],"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":[0.0001469307,0.0004470246,0.08490881,0.002418482,0.0001621279,0.0009613768,0.008379739,0.01117646,0.00507628,0.03466042,0.07781299,0.7738493],"study_design_scores_gemma":[0.000107099,0.0006099454,0.2464219,0.004243135,0.000415517,0.0002862487,0.05490648,0.02062459,0.006518313,0.006268021,0.659409,0.0001898083],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3578236,0.0837684,0.03308168,0.09018511,0.0008760651,0.003112507,0.004257509,0.0009491647,0.425946],"genre_scores_gemma":[0.8630003,0.04734428,0.04122481,0.003989443,0.00007409469,0.0003444555,0.001277563,0.00005475501,0.04269028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0653641,"threshold_uncertainty_score":0.474252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149679243936287,"score_gpt":0.1964650825734934,"score_spread":0.1849682901341305,"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."}}