{"id":"W7130238138","doi":"","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":2025,"lang":"","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Type (biology); Taxonomy (biology); Biodiversity; Holotype; Fauna","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":[0.0007952505,0.001823403,0.001800173,0.008192515,0.002361948,0.002317146,0.003292261,0.001674109,0.1074359],"category_scores_gemma":[0.006236898,0.000846748,0.001173971,0.02143894,0.0005820348,0.001340765,0.001444901,0.001736582,0.07277867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006517045,"about_ca_system_score_gemma":0.02093744,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7768107,"about_ca_topic_score_gemma":0.8970565,"domain_scores_codex":[0.9988366,0.00005322283,0.0001015433,0.0003074876,0.0003782894,0.0003228474],"domain_scores_gemma":[0.9950215,0.0007563015,0.0005102169,0.0004707096,0.002663456,0.0005780236],"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":[0.00002716255,0.000007971128,0.001618318,0.000731316,0.00002788115,0.00001288568,0.00002728681,0.0001105609,0.00003768867,0.0003038178,0.995069,0.002026081],"study_design_scores_gemma":[0.0001109729,0.000007097589,0.02913902,0.0008871348,0.00007873375,0.00003441854,0.0001832856,0.0002529609,0.0002119063,0.0007155754,0.968331,0.00004784574],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005050958,0.0000552075,0.00001479633,0.0000134407,0.00000647066,0.000003887833,0.9993511,0.00002872769,0.0004758867],"genre_scores_gemma":[0.0005564626,0.0001215467,0.0001660748,0.00003371971,0.000004868396,0.00004061338,0.9976835,0.00002886428,0.00136432],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2231893,"threshold_uncertainty_score":0.4490074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04330844870802814,"score_gpt":0.3137873373661551,"score_spread":0.270478888658127,"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."}}