{"id":"W2144155115","doi":"10.22230/jem.2003v2n2a231","title":"Using forest structural diversity to inventory habitat diversity of forest-dwelling wildlife in the West Kootenay region of British Columbia","year":2003,"lang":"en","type":"article","venue":"Journal of Ecosystems and Management","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wildlife; Habitat; Geography; Forest ecology; Forest management; Forest inventory; Coarse woody debris; Snag; Riparian forest; Ecology; Vegetation (pathology); Abundance (ecology); Riparian zone; Large woody debris; Species diversity; Forest structure; Canopy; Ecosystem; Forestry; Biology; Archaeology","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":[0.0004330998,0.0002328098,0.000220737,0.002519656,0.001227357,0.001194834,0.0006577953,0.0001950051,0.0009646161],"category_scores_gemma":[0.001812484,0.0002715334,0.0001451132,0.003204271,0.0004755718,0.0002937952,0.0005729214,0.0003024456,0.000138104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006191696,"about_ca_system_score_gemma":0.004311917,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9673309,"about_ca_topic_score_gemma":0.993566,"domain_scores_codex":[0.9996356,0.00004869432,0.00003086566,0.00007051219,0.0001197835,0.00009460098],"domain_scores_gemma":[0.9987541,0.0001911683,0.0001767888,0.00005811718,0.0006071488,0.0002126163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003803421,0.00002628713,0.9759685,0.00004551135,0.00005454294,0.00007543885,0.0009309038,0.0005046536,0.001003272,0.00005508234,0.0006488758,0.02064894],"study_design_scores_gemma":[0.000003643387,0.000006895555,0.9980369,0.0000187527,0.00001300995,0.00002252206,0.0007796118,0.0005399793,0.00009035077,0.00001467067,0.0004686735,0.000005042476],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972866,0.0001834086,0.0001854626,0.00002451958,0.000001593238,0.0000299374,0.0007858105,0.000009086056,0.001493664],"genre_scores_gemma":[0.9966227,0.0002341832,0.00106595,0.00002018472,0.000001462701,0.00004388555,0.001048278,0.000004543809,0.0009588123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03266907,"threshold_uncertainty_score":0.06572288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086617201061881,"score_gpt":0.2126980500616328,"score_spread":0.191831878051014,"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."}}