{"id":"W4391998460","doi":"10.1111/csp2.13086","title":"Mapping social conflicts to enhance the integrated management of white‐tailed deer ( <i>Odocoileus virginianus</i> )","year":2024,"lang":"en","type":"article","venue":"Conservation Science and Practice","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Government of Canada; Canadian Forest Service","funders":"Indiana Department of Natural Resources","keywords":"Wildlife; Odocoileus; Stakeholder; Politics; Conflict management; Wildlife management; Wildlife conservation; Social conflict; Geography; Political science; Ideology; Environmental planning; Environmental resource management; Public relations; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003082936,0.00009496402,0.00008935307,0.00006772111,0.0006868599,0.0001324481,0.0002905676,0.000044194,0.0002446122],"category_scores_gemma":[0.0006331248,0.00007232391,0.00001808673,0.001893453,0.0006425345,0.001328499,0.0002507162,0.0001382499,0.0001973047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008130767,"about_ca_system_score_gemma":0.00008150768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008693139,"about_ca_topic_score_gemma":0.00004663496,"domain_scores_codex":[0.9986459,0.0001297467,0.0002390643,0.000344973,0.0004424101,0.0001978779],"domain_scores_gemma":[0.9990145,0.0005407881,0.000105629,0.0001661956,0.0001167718,0.00005612538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007508717,0.00033595,0.3374289,0.000311447,0.0002573373,0.0001198613,0.09053732,0.0004009345,0.1124993,0.04201007,0.1788613,0.2364867],"study_design_scores_gemma":[0.0000813162,0.00003650622,0.3532771,0.00004623299,0.00002866209,0.0000177253,0.002841376,0.00170207,0.0006810186,0.0002086559,0.6409557,0.0001235894],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8817616,0.00005818953,0.003185537,0.09014066,0.0002885149,0.0003964092,0.000003618453,0.00004578751,0.02411969],"genre_scores_gemma":[0.976473,0.00004366541,0.002330773,0.01933572,0.00002646897,0.00006246296,0.000002544564,0.000005647943,0.001719705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4620944,"threshold_uncertainty_score":0.528284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02511954065905449,"score_gpt":0.3116276350916654,"score_spread":0.2865080944326109,"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."}}