{"id":"W4395488938","doi":"10.15468/2iaogm","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":"dataset","venue":"Global Biodiversity Information Facility","topic":"Fossil Insects in Amber","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neuroptera; Blattodea; Biology; Psocoptera; Odonata; Arthropod; Zoology; Orthoptera; Agamidae; Ecology; Cockroach; Predation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002104755,0.001568725,0.001471228,0.0006656778,0.001800629,0.001222818,0.002638033,0.001481049,0.007394031],"category_scores_gemma":[0.0005103956,0.0009862959,0.0007740246,0.002507434,0.0008941984,0.002627448,0.0006539159,0.001689854,0.01038655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001833783,"about_ca_system_score_gemma":0.0005844773,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2221636,"about_ca_topic_score_gemma":0.3708143,"domain_scores_codex":[0.9907515,0.0009761172,0.002586622,0.00140183,0.002698006,0.00158594],"domain_scores_gemma":[0.9942183,0.0004911731,0.001572049,0.001063541,0.002031037,0.0006239123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006721289,0.000357327,0.02484564,0.0002622734,0.000209929,0.00003688245,0.0009393454,0.00007888875,0.00006403164,0.00001445215,0.9701337,0.002385384],"study_design_scores_gemma":[0.001106312,0.0003612735,0.05676292,0.0001331312,0.0001236137,0.0001720774,0.0001111424,0.00002034166,0.00005227986,0.00005660549,0.9397036,0.001396745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.3107316,0.0001238797,0.000002991032,0.0005720557,0.001586996,0.00152196,0.6826882,0.0001068853,0.002665492],"genre_scores_gemma":[0.200716,0.0002156517,0.0001708225,0.003046011,0.0001562783,0.00007176417,0.79558,0.000001671256,0.00004181771],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1486507,"threshold_uncertainty_score":0.9998152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03048743358517841,"score_gpt":0.2336469437692797,"score_spread":0.2031595101841013,"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."}}