{"id":"W4220757548","doi":"10.1016/j.gecco.2022.e02080","title":"Review of field methods for monitoring Asian bears","year":2022,"lang":"en","type":"article","venue":"Global Ecology and Conservation","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Forests","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Occupancy; Population; Threatened species; Environmental resource management; Abundance (ecology); Computer science; Ecology; Geography; Data science; Environmental science; Habitat; Biology; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006280342,0.00005208573,0.0001179402,0.000009109439,0.00021711,0.000001961098,0.00008353149,0.00004944723,0.0005918996],"category_scores_gemma":[0.0002348335,0.00005833006,0.00002958297,0.0001442488,0.00005763597,0.00007094573,0.0001050498,0.00006136957,0.000004084789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006884521,"about_ca_system_score_gemma":0.00002207472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009442267,"about_ca_topic_score_gemma":0.00005318157,"domain_scores_codex":[0.9993621,0.0001726319,0.0001762966,0.0001420133,0.00004199217,0.0001050039],"domain_scores_gemma":[0.9995822,0.0001918077,0.0001112977,0.00008079728,0.00001252528,0.00002136443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003771937,0.00002535645,0.9464695,0.0001012269,0.00001082212,3.288844e-7,0.00002319283,0.00001162442,0.00007799239,0.00138102,0.01244602,0.03941515],"study_design_scores_gemma":[0.0002106412,0.0002070539,0.9501299,0.00003083158,0.00003105829,0.00001118851,0.00006553701,0.0002358047,0.00006926673,0.006004937,0.04293945,0.00006433324],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9537483,0.002419787,0.004303075,0.03497522,0.0007326002,0.0007056225,0.00001995663,0.0000306409,0.003064777],"genre_scores_gemma":[0.8949952,0.001680477,0.04512031,0.05688063,0.00005766754,0.0008500163,0.00005795617,0.000009418499,0.0003483441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05875314,"threshold_uncertainty_score":0.6480885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01831581519642453,"score_gpt":0.3171510967616827,"score_spread":0.2988352815652582,"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."}}