{"id":"W2111503260","doi":"10.1002/wsb.167","title":"Mad cow policy and management of grizzly bear incidents","year":2012,"lang":"en","type":"article","venue":"Wildlife Society Bulletin","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Grizzly Bears; Ursus; Wildlife; Human–wildlife conflict; Livestock; Wildlife management; Geography; Population; Business; Environmental protection; Ecology; Biology; Environmental health; Forestry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004010049,0.000112689,0.0001244401,0.00001163577,0.0001395658,0.000008322582,0.0001390646,0.0001033554,0.001143289],"category_scores_gemma":[0.00001979481,0.0001130994,0.00007448009,0.000152865,0.0002647037,0.00009487685,0.0002744036,0.00009434002,0.0006126464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008987386,"about_ca_system_score_gemma":0.000006538414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002688281,"about_ca_topic_score_gemma":0.000006870883,"domain_scores_codex":[0.9990593,0.00004595378,0.000189883,0.0001771942,0.0002160499,0.0003116061],"domain_scores_gemma":[0.9995738,0.00004031875,0.00009936938,0.0001695753,0.000005775861,0.0001112031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007805401,0.00008558646,0.8549582,0.00002926782,0.00004110662,6.962517e-7,0.0008175915,0.000007895464,0.00004739118,0.0009271642,0.1419126,0.001164653],"study_design_scores_gemma":[0.0002951436,0.00001966104,0.7994345,0.00001425725,0.00002077711,0.000004122785,0.000344238,0.00001315232,0.00001732337,0.0001041672,0.1996358,0.00009694396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797666,0.0000945873,0.00009099249,0.01168041,0.00009477491,0.000206595,0.000004931569,0.00002973635,0.008031391],"genre_scores_gemma":[0.9788814,0.0004320326,0.005400975,0.01169793,0.0001301694,0.00002734731,0.000008162422,0.00001427793,0.003407686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05772314,"threshold_uncertainty_score":0.9997698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009289836633215033,"score_gpt":0.2283553267956755,"score_spread":0.2190654901624604,"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."}}