{"id":"W2012842720","doi":"10.1155/2013/457698","title":"Sustaining Cavity-Using Species: Patterns of Cavity Use and Implications to Forest Management","year":2013,"lang":"en","type":"article","venue":"ISRN Forestry","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Snag; Logging; Dead tree; Forest management; Ecology; Wood production; Range (aeronautics); Dead wood; Geography; Mammal; Agroforestry; Forestry; Biology; Biodiversity; Habitat; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001508109,0.0001394525,0.0002280209,0.001014095,0.0005927876,0.0009743181,0.0006878171,0.0005938488,0.002612013],"category_scores_gemma":[0.004210315,0.0001799225,0.0001687044,0.001168511,0.001339651,0.001340815,0.0007130576,0.0002878922,0.0002454942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006816409,"about_ca_system_score_gemma":0.0004150122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01526886,"about_ca_topic_score_gemma":0.03268893,"domain_scores_codex":[0.9994245,0.0002020345,0.00005368637,0.000161247,0.00007376246,0.00008486],"domain_scores_gemma":[0.9966564,0.001246357,0.001269444,0.0002410723,0.0003534196,0.0002331815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003549148,0.00003052743,0.9912099,0.0000166585,0.0000213024,0.00003415302,0.001191411,0.0001299073,0.0002876416,0.0002077477,0.00007724542,0.006758019],"study_design_scores_gemma":[0.000001466906,0.00002920243,0.99575,0.000007226806,0.000005905439,0.00008453833,0.003151512,0.0005711346,0.00003721796,0.0002656455,0.00009215505,0.000003968284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984823,0.0002641084,0.0001969926,0.000108762,0.000001035669,0.000009224271,0.00008555208,0.00000287242,0.0008491668],"genre_scores_gemma":[0.9996038,0.00006871027,0.0001348418,0.00001134634,0.000001538565,0.000004217951,0.00006580672,0.000001174793,0.0001085648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01526886,"threshold_uncertainty_score":0.03035998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03955403347858777,"score_gpt":0.225008478212742,"score_spread":0.1854544447341542,"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."}}