{"id":"W2146808957","doi":"10.1111/icad.12143","title":"Capturing northern biodiversity: diversity of arctic, subarctic and north boreal beetles and spiders are affected by trap type and habitat","year":2015,"lang":"en","type":"article","venue":"Insect Conservation and Diversity","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Subarctic climate; Ecology; Biodiversity; Habitat; Abundance (ecology); Arctic; Species richness; Boreal; Biome; Taiga; Sampling (signal processing); Taxon; Biology; Geography; Ecosystem","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":[0.0009032372,0.000217294,0.0001698073,0.000516045,0.0005796971,0.0005325177,0.0001828027,0.0001162092,0.0006901494],"category_scores_gemma":[0.001374187,0.0001407707,0.0001930364,0.0004752938,0.0002644052,0.0002826705,0.0003247608,0.0001180972,0.000103951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004657504,"about_ca_system_score_gemma":0.0005484455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1429977,"about_ca_topic_score_gemma":0.5372772,"domain_scores_codex":[0.9995694,0.0001069694,0.00002935386,0.00009150945,0.0001376534,0.00006520232],"domain_scores_gemma":[0.9983156,0.0002425387,0.0007408609,0.00008293668,0.000356328,0.0002618103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001142309,0.00001889137,0.9865541,0.00003201946,0.00005893848,0.00002014105,0.0002811554,0.00009033714,0.005188897,0.00001011543,0.0001073636,0.00752376],"study_design_scores_gemma":[4.954707e-7,0.00001353443,0.9995804,0.000003130026,0.00000642072,0.00002387651,0.0001222503,0.0000443306,0.0001382992,0.000002319585,0.0000639538,8.716905e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998555,0.0003002301,0.0001933419,0.00001523568,0.000002094138,0.000007316232,0.0001604235,0.000006512047,0.0007597622],"genre_scores_gemma":[0.9988322,0.0001552093,0.0005443367,0.00002040087,0.000002359144,0.00000713719,0.0001859127,0.000001865402,0.0002506403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1429977,"threshold_uncertainty_score":0.2843308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05720185624917344,"score_gpt":0.2064148568513386,"score_spread":0.1492130006021651,"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."}}