{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001177242,0.0001952466,0.000146644,0.002345593,0.0006955731,0.001166351,0.0004331094,0.0002025408,0.001318311],"category_scores_gemma":[0.002322829,0.0001250131,0.0001581267,0.001328335,0.0002776405,0.0007492415,0.001202669,0.0002471089,0.0001244093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009127021,"about_ca_system_score_gemma":0.0006270444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01129227,"about_ca_topic_score_gemma":0.0508779,"domain_scores_codex":[0.9992957,0.0004190617,0.00003113924,0.00008886613,0.00008816364,0.0000770836],"domain_scores_gemma":[0.9981946,0.0005681571,0.0007558218,0.00008794412,0.0002135464,0.0001797931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001980248,0.0003821633,0.884948,0.0001004611,0.000118702,0.0001142228,0.004185699,0.003599794,0.003321477,0.001025151,0.00173384,0.1002725],"study_design_scores_gemma":[0.00001618184,0.0002305077,0.955844,0.00008057276,0.00004534492,0.00006223438,0.01868937,0.01822969,0.001414087,0.002081829,0.00328194,0.00002413302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937184,0.00007082061,0.002655794,0.0001212442,0.000003850029,0.00006532569,0.0003175673,0.00002674286,0.003020147],"genre_scores_gemma":[0.9936385,0.00003362302,0.005803681,0.00001737361,0.000003086639,0.00005086074,0.0002126453,0.000002921298,0.0002372762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01129227,"threshold_uncertainty_score":0.02245313,"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."}}