{"id":"W4395488938","doi":"10.15468/2iaogm","title":"Name-bearing type specimens in the Canadian National Collection of Insects, Arachnids &amp; Nematodes (CNC): Blattodea, Dermaptera, Notoptera, Mecoptera, Megaloptera, Myriapoda, Neuroptera, Odonata, Orthoptera, Phthiraptera, Pseudoscorpiones, Psocoptera, Raphidioptera &amp; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005892164,0.001156243,0.0009552162,0.00771435,0.002328283,0.00149929,0.002771428,0.000804747,0.07046779],"category_scores_gemma":[0.004677068,0.0005736732,0.0005715741,0.01695546,0.0004812775,0.001053164,0.001524573,0.001322205,0.03953017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01024363,"about_ca_system_score_gemma":0.02452608,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8802256,"about_ca_topic_score_gemma":0.9562057,"domain_scores_codex":[0.9990786,0.00002779081,0.00006853566,0.0001581457,0.000460884,0.0002059635],"domain_scores_gemma":[0.9959091,0.0002172466,0.0003565273,0.0003079025,0.00280723,0.0004021031],"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":[0.00001930728,0.00000768058,0.002942098,0.0004741343,0.00001634065,0.00001747158,0.0000766668,0.00005829933,0.00007464681,0.0005821558,0.9917772,0.003954049],"study_design_scores_gemma":[0.00002437826,0.000002668009,0.02923455,0.0003635364,0.0000258077,0.00002767975,0.0002423567,0.00007921837,0.0001709047,0.000240684,0.9695687,0.00001947273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001869609,0.00007651802,0.00002950933,0.00002929194,0.00001379064,0.0000128875,0.9971271,0.0000485972,0.00247541],"genre_scores_gemma":[0.001093442,0.0001593525,0.0003051993,0.0000359808,0.000004588339,0.00006127899,0.9960052,0.00002618293,0.002308793],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1197744,"threshold_uncertainty_score":0.2409595,"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."}}