{"id":"W3177156382","doi":"10.3390/f12060809","title":"Balancing Large-Scale Wildlife Protection and Forest Management Goals with a Game-Theoretic Approach","year":2021,"lang":"en","type":"article","venue":"Forests","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Natural Resources Canada; Canadian Forest Service","funders":"U.S. Forest Service; U.S. Department of Agriculture","keywords":"Wildlife; Forest management; License; Revenue; Business; Mandate; Stackelberg competition; Profit (economics); Environmental resource management; Environmental economics; Forestry; Economics; Geography; Finance; Ecology; Microeconomics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001912833,0.001560012,0.001178548,0.001143118,0.001123224,0.00274588,0.002335506,0.002141727,0.00449832],"category_scores_gemma":[0.003558538,0.0006493605,0.0008542967,0.0008777831,0.002584385,0.002465467,0.001708989,0.001671695,0.0002641368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007186769,"about_ca_system_score_gemma":0.007158752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03674597,"about_ca_topic_score_gemma":0.04581812,"domain_scores_codex":[0.9990098,0.00048235,0.00002430888,0.0001284499,0.0001755994,0.0001794373],"domain_scores_gemma":[0.9987116,0.0008387922,0.0001315754,0.00004620001,0.0001191719,0.0001527414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002049072,0.00005215509,0.0002991808,0.00004483701,0.00003415906,0.00005639192,0.0000799994,0.9155374,0.0004847727,0.07928013,0.0006641982,0.003446191],"study_design_scores_gemma":[0.00002900755,0.00003633272,0.000218842,0.00001680552,0.00001902071,0.00002581259,0.0001439715,0.9267265,0.0001161688,0.07098597,0.001667208,0.00001437844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06978946,0.0004350695,0.875751,0.002723831,0.00008739554,0.0003541444,0.0002274675,0.0001136261,0.05051797],"genre_scores_gemma":[0.8609025,0.0005110238,0.127147,0.0004366339,0.00008898183,0.0004132761,0.00009390981,0.00005309655,0.01035357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03674597,"threshold_uncertainty_score":0.07306415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005658533324699899,"score_gpt":0.1994532325372972,"score_spread":0.1937946992125973,"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."}}