{"id":"W2130152509","doi":"10.2192/ursus-d-10-00005.1","title":"A proposed lexicon of terms and concepts for human–bear management in North America","year":2010,"lang":"en","type":"article","venue":"Ursus","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Lexicon; Agency (philosophy); Delphi method; Delphi; Human resource management; Environmental resource management; Environmental ethics; Computer science; Geography; Political science; Knowledge management; Sociology; Artificial intelligence; Social 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005189208,0.00003813527,0.00005619649,0.00001477925,0.00003541811,0.00000321252,0.00005996429,0.00002583846,0.0001684459],"category_scores_gemma":[0.000008041072,0.00003512604,0.000009923492,0.00005519348,0.0001758574,0.00004594942,0.00003552654,0.0000432376,0.00001381723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009841842,"about_ca_system_score_gemma":0.000002071355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007636327,"about_ca_topic_score_gemma":0.002198618,"domain_scores_codex":[0.9996772,0.000008302307,0.00008051472,0.0001080032,0.00004149692,0.0000844985],"domain_scores_gemma":[0.9998479,0.0000165335,0.00003887721,0.00007761878,0.000001744118,0.00001733827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002855905,0.00005349895,0.9779344,0.000009263208,0.000005214705,0.000001990717,0.0002957118,0.00001398932,0.002836994,0.0007087287,0.0003389726,0.01777263],"study_design_scores_gemma":[0.0005081401,0.00009106231,0.9939221,0.000001665429,0.000005398546,3.889526e-7,0.00005451897,0.0001463043,0.0002643712,0.0008588686,0.004101787,0.00004545555],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959239,0.000001856497,0.00004286365,0.0002800639,0.00005155016,0.0002871507,0.000002078679,0.000006176699,0.00340432],"genre_scores_gemma":[0.9979803,0.000001716005,0.001407155,0.0001839252,0.000008176779,0.00002628026,0.00000545639,0.00000270696,0.0003843145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01772718,"threshold_uncertainty_score":0.1844364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009708825418279485,"score_gpt":0.2536646691180571,"score_spread":0.2439558436997776,"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."}}