{"id":"W2114296095","doi":"","title":"Community Involvement in Recovering Woodland Caribou Populations: Yukon Success Stories","year":2004,"lang":"en","type":"article","venue":"","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Woodland caribou; Woodland; Geography; Ecology; Population; Herd; Predation; Demography; Biology; Sociology","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":[0.002131691,0.000204874,0.0002035321,0.0006942115,0.007185891,0.002348231,0.0008167723,0.001441951,0.003383127],"category_scores_gemma":[0.004221188,0.0001969248,0.0002065794,0.0007509144,0.002710175,0.001932564,0.005389008,0.001495572,0.0002268036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002490249,"about_ca_system_score_gemma":0.004422981,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1379399,"about_ca_topic_score_gemma":0.3609314,"domain_scores_codex":[0.9980692,0.000699934,0.00005489712,0.00007702306,0.0002045738,0.0008944999],"domain_scores_gemma":[0.996716,0.0006219007,0.0004097067,0.0001130063,0.0005207356,0.001618636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002429014,0.0008038227,0.5047516,0.000319906,0.0001073394,0.004376109,0.3622797,0.0001086342,0.001154083,0.006940472,0.01668082,0.1022345],"study_design_scores_gemma":[0.00002817611,0.0001939271,0.3422723,0.0002519764,0.00006331263,0.001420313,0.6127127,0.0001760015,0.0003972925,0.0009450119,0.04150948,0.00002947263],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794897,0.0007521314,0.00005531008,0.009196229,0.00003402022,0.00001748811,0.00004276976,0.000006722088,0.01040555],"genre_scores_gemma":[0.9972793,0.0005319439,0.00004536354,0.0005572991,0.000008935832,0.00001298172,0.00002902225,0.000003590063,0.001531483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8620601,"threshold_uncertainty_score":0.2742739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1406866885537858,"score_gpt":0.420273842040114,"score_spread":0.2795871534863282,"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."}}