{"id":"W1482685379","doi":"10.13021/mars/7289","title":"Grizzly Bear Emigration and Land Use: An Interdisciplinary Case Study of the Greater Yellowstone Ecosystem","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emigration; Geography; Ecosystem; Grizzly Bears; Ecology; Environmental ethics; Archaeology; Sociology; Demography; Biology; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001183441,0.00026514,0.0002324906,0.0008297398,0.00348965,0.0009720993,0.0007847699,0.0006350532,0.0009334957],"category_scores_gemma":[0.001249812,0.0001696586,0.0002190305,0.001623601,0.001230727,0.00104533,0.002422628,0.0006661256,0.00007937483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003187719,"about_ca_system_score_gemma":0.001706804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1212215,"about_ca_topic_score_gemma":0.4629169,"domain_scores_codex":[0.9995095,0.0002332263,0.00001660904,0.00004705659,0.00005142197,0.0001422849],"domain_scores_gemma":[0.9995179,0.0001436896,0.00009808828,0.00003769197,0.00005301457,0.0001496283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009861076,0.0006171549,0.8103693,0.0001016416,0.00009492036,0.0130544,0.1433109,0.0007109363,0.0007094397,0.001439426,0.002253654,0.02723965],"study_design_scores_gemma":[0.000009866074,0.0002224467,0.6671308,0.00006636152,0.00002889091,0.001608207,0.3237296,0.0008567683,0.000145786,0.0004905188,0.005697065,0.00001376382],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992441,0.0000791819,0.00002745836,0.0001065887,0.000001212135,0.000006898545,0.00002079522,5.434956e-7,0.0005133376],"genre_scores_gemma":[0.9979824,0.0004181148,0.000244051,0.0001075744,0.000003531678,0.0000134571,0.00006781416,0.000002034851,0.00116099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1212215,"threshold_uncertainty_score":0.2410318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140114878098228,"score_gpt":0.2582140816167699,"score_spread":0.2442025938069471,"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."}}