{"id":"W2151460568","doi":"10.1111/j.1600-0587.2008.05671.x","title":"Beetle diversity in a matrix of old‐growth boreal forest: influence of habitat heterogeneity at multiple scales","year":2009,"lang":"en","type":"article","venue":"Ecography","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré de Santé et de Services Sociaux des Laurentides; Université Laval","funders":"Canadian Forest Service; Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service","keywords":"Species richness; Spatial heterogeneity; Ecology; Habitat; Range (aeronautics); Geography; Biodiversity; Taiga; Spatial ecology; Species diversity; Boreal; Biology","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":[0.0005527631,0.0002586907,0.0003298387,0.0009700952,0.0008072644,0.00100503,0.0003522429,0.0001979412,0.0005344019],"category_scores_gemma":[0.001063994,0.0002072903,0.0002258193,0.0007385038,0.0008293549,0.0004465948,0.0005002548,0.0002194619,0.00004902865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641605,"about_ca_system_score_gemma":0.0005338292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2874211,"about_ca_topic_score_gemma":0.5748159,"domain_scores_codex":[0.9996251,0.00009470741,0.00001830261,0.0001319151,0.00005630204,0.0000736775],"domain_scores_gemma":[0.9987703,0.0003041231,0.0003998025,0.00007217537,0.0001784274,0.0002750743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006115166,0.00001567289,0.9954231,0.00001222473,0.0000756932,0.00005741644,0.0002589849,0.0003220502,0.002155949,0.00003338974,0.00004440202,0.001539805],"study_design_scores_gemma":[6.778241e-7,0.00000662963,0.9994938,0.000001156598,0.000004001652,0.00002459232,0.0001150072,0.0002999638,0.00002083259,0.000007223809,0.00002440858,0.000001718684],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999632,0.00008657076,0.00007647941,0.000006712544,7.174388e-7,0.000002301089,0.00007223269,0.000001973183,0.0001209277],"genre_scores_gemma":[0.9997868,0.00001950673,0.0000834088,0.000003383166,0.000001278716,0.000001707893,0.00008101578,6.691509e-7,0.00002222543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2874211,"threshold_uncertainty_score":0.5714963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298055861194565,"score_gpt":0.2076133132045188,"score_spread":0.1946327545925731,"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."}}