{"id":"W2760893862","doi":"10.4039/tce.2017.50","title":"<i>Grylloblatta campodeiformis</i>(Grylloblattodea: Grylloblattidae) uses saproxylic habitats in subalpine forests of western Alberta, Canada: implications for conservation","year":2017,"lang":"en","type":"article","venue":"The Canadian Entomologist","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; University of Alberta","funders":"Canadian Forest Service; U.S. Forest Service; Natural Sciences and Engineering Research Council of Canada; Alberta Parks; Alberta Agriculture and Forestry; Alberta Conservation Association","keywords":"Curculionidae; Montane ecology; Habitat; Ecology; Mountain pine beetle; Dendroctonus; Geography; Glacial period; Invertebrate; Coarse woody debris; Biology; Bark beetle","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":[0.00011094,0.0002300915,0.0001526952,0.0008690627,0.001392779,0.0007757723,0.0003342464,0.0001501463,0.001200207],"category_scores_gemma":[0.0001776694,0.000109856,0.00008574672,0.0007845924,0.0006168458,0.0002099952,0.0003308093,0.0001733354,0.0001859193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003632418,"about_ca_system_score_gemma":0.002648407,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9129752,"about_ca_topic_score_gemma":0.9872118,"domain_scores_codex":[0.9998915,0.000008168518,0.000003053307,0.00002246251,0.00002925839,0.00004550653],"domain_scores_gemma":[0.999832,0.000009480378,0.00003943462,0.000004255975,0.00005960194,0.00005519832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001319856,0.00005099535,0.9565014,0.0000969816,0.00003482323,0.0003844741,0.002568091,0.0001801155,0.01277843,0.0001351608,0.0008879979,0.02624958],"study_design_scores_gemma":[0.000001506233,0.000008664276,0.997443,0.00001121484,0.000004980231,0.00006949971,0.001564699,0.00005302858,0.0001038491,0.00001308705,0.0007242868,0.000002307068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997099,0.0004277112,0.00003876293,0.00004388965,0.000002611899,0.000009140513,0.0001814766,0.000004770498,0.002192577],"genre_scores_gemma":[0.998332,0.0003866064,0.0001772336,0.00003117936,0.000002031516,0.00000360287,0.0002294354,0.000001347864,0.0008366099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08702481,"threshold_uncertainty_score":0.1750746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0422012025275199,"score_gpt":0.2495982218687328,"score_spread":0.2073970193412129,"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."}}