{"id":"W1651541554","doi":"10.22230/jem.2010v10n3a4","title":"British Columbia's Southern Interior: Badger Wildlife Habitat Decision Aid","year":2010,"lang":"en","type":"article","venue":"Journal of Ecosystems and Management","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Environment; Thompson Rivers University","keywords":"Wildlife; Badger; Habitat; Geography; Ecology; Endangered species; Forest management; Silviculture; Wildlife management; Range (aeronautics); Environmental resource management; Wildlife conservation; Agroforestry; Forestry; Environmental science; Biology","routes":{"ca_aff":false,"ca_fund":true,"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":[0.000815122,0.0003996154,0.0002347183,0.002380734,0.002232743,0.002918149,0.0007683295,0.0004650783,0.04023079],"category_scores_gemma":[0.002790649,0.0002075074,0.0001318886,0.002370111,0.0003432949,0.0007736285,0.0009065999,0.0006158401,0.005847149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007684499,"about_ca_system_score_gemma":0.01381589,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7707582,"about_ca_topic_score_gemma":0.9408301,"domain_scores_codex":[0.9996048,0.00006504042,0.00003367212,0.0000375768,0.000169248,0.000089764],"domain_scores_gemma":[0.9975278,0.0004709251,0.0001018579,0.00004482081,0.0013095,0.0005451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000664417,0.0001170238,0.018867,0.0003401024,0.00001182585,0.0002825193,0.0008695903,0.0005452916,0.0004316494,0.0006532724,0.6955473,0.2822681],"study_design_scores_gemma":[0.00006039641,0.00004957992,0.07058946,0.001029107,0.00003850088,0.0001607473,0.007687742,0.001382556,0.0003982603,0.0006615878,0.9178632,0.00007885972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1272913,0.01120977,0.004421117,0.02834756,0.001196112,0.001597796,0.04060706,0.004512643,0.7808167],"genre_scores_gemma":[0.4229274,0.02074298,0.04571426,0.006697751,0.0003054105,0.00115492,0.03302123,0.0004442042,0.4689919],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2292418,"threshold_uncertainty_score":0.4611838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00466573729933209,"score_gpt":0.191317399398499,"score_spread":0.1866516620991669,"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."}}