{"id":"W4200371403","doi":"10.3389/fcosc.2021.786013","title":"Dealing With Deadstock: A Case Study of Carnivore Conflict Mitigation From Southwestern Alberta","year":2021,"lang":"en","type":"article","venue":"Frontiers in Conservation Science","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Alberta","funders":"Kenneth M. Molson Foundation; Environment and Climate Change Canada; Nature Conservancy of Canada; Molson Foundation; Alberta Environment and Parks; Alberta Conservation Association","keywords":"Livestock; Carnivore; Business; Human–wildlife conflict; Rendering (computer graphics); Agricultural science; Wildlife; Geography; Ecology; Forestry; Environmental science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004350648,0.0001146204,0.0001813065,0.00009333678,0.0002296586,0.0000390133,0.0002126701,0.0000577659,0.0001144459],"category_scores_gemma":[0.0002001475,0.000112648,0.00001770089,0.001040205,0.0005119448,0.0005932612,0.00009788152,0.0001142331,0.000008725085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001278623,"about_ca_system_score_gemma":0.0002073201,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02281437,"about_ca_topic_score_gemma":0.08305152,"domain_scores_codex":[0.9984871,0.000101991,0.0003369816,0.0004800444,0.0003908652,0.0002029951],"domain_scores_gemma":[0.9991606,0.0001544819,0.0002038037,0.0003230598,0.00008959989,0.000068475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000254312,0.0001019014,0.9910383,0.000002121643,0.000008310917,0.0002230524,0.005695074,0.00125262,0.0008556917,0.00003752149,0.0001031127,0.00065685],"study_design_scores_gemma":[0.0009492261,0.0001034283,0.967436,0.00002416381,0.00002440618,0.0001180871,0.01838611,0.01159097,0.0008794632,0.0001650377,0.0001663053,0.0001567951],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948141,0.00001664073,0.003750391,0.0004506223,0.0002004289,0.0002977122,0.000003925796,0.00001315141,0.0004530161],"genre_scores_gemma":[0.9922292,0.000001842889,0.00702912,0.000541162,0.000008923505,0.00002364901,0.00000835074,0.0000067207,0.0001509833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06023715,"threshold_uncertainty_score":0.9836928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560370483079602,"score_gpt":0.2415762570394185,"score_spread":0.2259725522086225,"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."}}