{"id":"W3165814537","doi":"10.1186/s40663-021-00305-z","title":"Influence of individual tree characteristics, spatial structure and logging history on tree-related microhabitat occurrence in North American hardwood forests","year":2021,"lang":"en","type":"article","venue":"Forest Ecosystems","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal; Université du Québec à Chicoutimi","funders":"Ministère des Forêts, de la Faune et des Parcs","keywords":"Beech; Logging; Hardwood; Yellow birch; Bark (sound); Biodiversity; Woodpecker; Forestry; Geography; Diameter at breast height; Spatial ecology; Ecology; Forest management; Tree (set theory); Tree health; Agroforestry; Biology; Habitat; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004520124,0.0001945668,0.000200715,0.000769701,0.0006648226,0.0006805226,0.0004412514,0.0001998821,0.00126278],"category_scores_gemma":[0.0008214641,0.0001454596,0.0001500921,0.0008910202,0.0004736265,0.0002394614,0.0003238944,0.0001645972,0.0001073893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500201,"about_ca_system_score_gemma":0.00082309,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5635925,"about_ca_topic_score_gemma":0.8857225,"domain_scores_codex":[0.9997234,0.00005003425,0.00001393134,0.00008278422,0.00005560372,0.00007415155],"domain_scores_gemma":[0.9985153,0.0003894653,0.0003309838,0.00005780605,0.0003025818,0.0004037566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002758647,0.00001356244,0.9972573,0.000009259461,0.00001996413,0.000034204,0.0001999656,0.00007921544,0.0006588619,0.000007636801,0.00007019993,0.001622413],"study_design_scores_gemma":[2.927137e-7,0.000003941273,0.9997256,0.000001412246,0.000001918271,0.000007377135,0.0001494184,0.00005953248,0.00001133435,0.000001927674,0.00003631046,7.500726e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995412,0.00006801687,0.00002724464,0.000006141949,7.408283e-7,0.000002952197,0.0001531505,0.000001461153,0.0001991686],"genre_scores_gemma":[0.9995323,0.00004035472,0.00007422822,0.000007194373,0.000001075931,0.000004338909,0.00018279,0.000001192375,0.0001565806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5635925,"threshold_uncertainty_score":0.8779552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01042211517311442,"score_gpt":0.1822995499152716,"score_spread":0.1718774347421572,"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."}}