{"id":"W1582802938","doi":"10.22230/jem.2011v12n1a73","title":"Mapping Grizzly Bear Habitats for Conservation Planning in the Central Interior of British Columbia","year":2011,"lang":"en","type":"article","venue":"Journal of Ecosystems and Management","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Nature Conservancy of Canada; Ministry of Forests, Lands and Natural Resource Operations","keywords":"Grizzly Bears; Ursus; Habitat; Geography; Ecology; Population; Boreal; Biodiversity; Biota; Occupancy; Range (aeronautics); Environmental science; Biology; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002887567,0.0002444648,0.0002095186,0.001905718,0.001311921,0.001369772,0.0006224126,0.0001814861,0.002055801],"category_scores_gemma":[0.001151578,0.0002185821,0.0002096727,0.002871453,0.0003532063,0.0002859263,0.0006690249,0.000298289,0.0001791965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007590793,"about_ca_system_score_gemma":0.008350368,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9771235,"about_ca_topic_score_gemma":0.996322,"domain_scores_codex":[0.9997706,0.00003378367,0.00001009662,0.000041241,0.00006079136,0.00008343966],"domain_scores_gemma":[0.9993679,0.00008499872,0.00008103289,0.00004043845,0.0003148258,0.0001108516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001163299,0.00008695433,0.8946645,0.0001448238,0.00008837253,0.0006013241,0.00289719,0.006862741,0.003009828,0.001003243,0.00757271,0.08295191],"study_design_scores_gemma":[0.000005968155,0.00001243891,0.9844525,0.00007218415,0.00002405612,0.00006761197,0.004395102,0.005715821,0.0001786675,0.0001271478,0.004930552,0.00001794079],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890158,0.0004942014,0.0007977816,0.0001690043,0.000005331419,0.00006575596,0.001562845,0.00004537614,0.007844022],"genre_scores_gemma":[0.9928173,0.0004672524,0.00245844,0.0000345839,0.000001528198,0.00004432436,0.00124157,0.0000140164,0.002921102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0228765,"threshold_uncertainty_score":0.05507529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.023375881587436,"score_gpt":0.2103323494341609,"score_spread":0.1869564678467249,"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."}}