{"id":"W2902850239","doi":"10.11646/zootaxa.4526.2.1","title":"Name-bearing type specimens in the Canadian National Collection of Insects, Arachnids & Nematodes (CNC): Blattodea, Dermaptera, Notoptera, Mecoptera, Megaloptera, Myriapoda, Neuroptera, Odonata, Orthoptera, Phthiraptera, Pseudoscorpiones, Psocoptera, Raphidioptera & Siphonaptera","year":2018,"lang":"en","type":"article","venue":"Zootaxa","topic":"Fossil Insects in Amber","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Neuroptera; Psocoptera; Biology; Blattodea; Odonata; Arthropod; Zoology; Myriapoda; Hemiptera; Orthoptera; Cockroach; Ecology; Taxonomy (biology); Predation","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004166514,0.0008563685,0.0006186273,0.007787636,0.002804241,0.0007478273,0.0012579,0.0002966659,0.08041364],"category_scores_gemma":[0.001011885,0.0003611931,0.0003595266,0.01104471,0.0004948768,0.0008061804,0.0007576943,0.0005008438,0.02189116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004776052,"about_ca_system_score_gemma":0.01518525,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8675833,"about_ca_topic_score_gemma":0.9643846,"domain_scores_codex":[0.9991975,0.0000196397,0.00004645539,0.0000837922,0.0005199867,0.0001326462],"domain_scores_gemma":[0.9978685,0.00005348253,0.000242444,0.0001204343,0.001407941,0.0003070917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001255639,0.00004945742,0.05834422,0.001972946,0.0000624524,0.0003512866,0.001511903,0.0001276549,0.007905083,0.002385678,0.7860152,0.1411485],"study_design_scores_gemma":[0.00001036295,0.00001547879,0.2600744,0.0003099567,0.00004523631,0.0002908769,0.0008302353,0.00005061146,0.0008252636,0.0001336999,0.7373793,0.00003455183],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03530688,0.005475475,0.001655196,0.0005921391,0.000718779,0.001101449,0.6470709,0.0005962051,0.307483],"genre_scores_gemma":[0.09981725,0.01045647,0.01423331,0.0007120256,0.0002078946,0.0006521571,0.6433111,0.0004555534,0.2301542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1324167,"threshold_uncertainty_score":0.2690104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04535403847534612,"score_gpt":0.2678633666420017,"score_spread":0.2225093281666556,"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."}}