{"id":"W2071112323","doi":"10.1016/j.foreco.2011.12.042","title":"Nest-site selection by old boreal forest cavity excavators as a basis for structural retention guidelines in spatially-aggregated harvests","year":2012,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Directorate for Biological Sciences","keywords":"Woodpecker; Snag; Taiga; Habitat; Ecology; Nest (protein structural motif); Biology; Felling; Clearcutting; Excavator; Abies balsamea; Foraging; Silviculture; Boreal; Forestry; Geography; Balsam; Botany","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":[0.001964907,0.0001753957,0.0003179138,0.0005653942,0.0004814721,0.0008486491,0.0006020023,0.0003181166,0.0008906153],"category_scores_gemma":[0.006156007,0.000205848,0.0001822718,0.0003262864,0.0004806043,0.0004813449,0.0005376419,0.0002854213,0.0001396694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002928388,"about_ca_system_score_gemma":0.0002922893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005631918,"about_ca_topic_score_gemma":0.05220549,"domain_scores_codex":[0.9994481,0.0002468032,0.00005203604,0.0001184475,0.00007913978,0.00005548608],"domain_scores_gemma":[0.995576,0.001887417,0.001279151,0.0005267156,0.0004264688,0.0003042603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003192502,0.0001687043,0.9696841,0.00003313473,0.00009688731,0.00007135791,0.0008305192,0.003367644,0.004658815,0.0002598466,0.0002994551,0.02021014],"study_design_scores_gemma":[0.00001055276,0.0001826178,0.9890695,0.00001022813,0.00003273592,0.00007299981,0.0006226247,0.009055159,0.0004495247,0.0002673652,0.0002173378,0.000009297336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985954,0.00002451363,0.0008745806,0.000008770186,0.000001715912,0.000007660552,0.00003385382,0.000007502253,0.0004460082],"genre_scores_gemma":[0.9985399,0.000005284834,0.001323187,0.000004275881,0.000001389047,0.000005828584,0.00004016414,0.000002788872,0.00007713571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005631918,"threshold_uncertainty_score":0.01119828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071193423493489,"score_gpt":0.2427624741356482,"score_spread":0.2320505399007133,"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."}}