{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005995656,0.00004819292,0.0001731416,0.00004156169,0.0002479123,0.00001518362,0.0001475076,0.00002613335,0.000009988982],"category_scores_gemma":[0.00001782647,0.00005033298,0.00004938863,0.0001093015,0.00006909985,0.0001425004,0.0003428948,0.00006229691,4.324505e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007973084,"about_ca_system_score_gemma":0.000003047343,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007281003,"about_ca_topic_score_gemma":0.3282376,"domain_scores_codex":[0.9992519,0.00008660756,0.0002778564,0.00008756903,0.0001901864,0.0001058947],"domain_scores_gemma":[0.9995366,0.00003042667,0.0003094557,0.00006666058,0.00002208542,0.00003482673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000872366,0.00002755061,0.9817432,0.00007507734,0.00003765702,0.00004167247,0.000708684,0.01624449,0.00000231427,0.0001923352,0.0008598095,0.0000584945],"study_design_scores_gemma":[0.0003910479,0.00009590237,0.9946756,0.0001074773,0.00004626461,0.00004339752,0.001601423,0.001775254,2.831486e-7,0.0009688759,0.0002410098,0.00005342386],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984388,0.00007992759,0.0005533744,0.00005352722,0.0001608397,0.000201869,0.000002245924,9.6601e-7,0.0005084651],"genre_scores_gemma":[0.999375,0.0001138758,0.0003675649,0.00007277963,0.000008332107,6.591021e-7,2.235947e-7,0.000002080928,0.0000594783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3209566,"threshold_uncertainty_score":0.9993296,"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."}}