{"id":"W6911908590","doi":"10.5281/zenodo.13385708","title":"Linked collectors and determiners for: 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":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Type (biology); Data collection; Natural history; National museum; Taxonomy (biology)","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":[0.00176653,0.001707398,0.00184896,0.006802981,0.002347787,0.003153251,0.003384626,0.001967771,0.1198579],"category_scores_gemma":[0.01236581,0.00126155,0.001086625,0.01567756,0.0006525714,0.001753359,0.002580169,0.002209163,0.1151656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00804938,"about_ca_system_score_gemma":0.01910578,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.462862,"about_ca_topic_score_gemma":0.6670035,"domain_scores_codex":[0.9975187,0.0001627141,0.0002544359,0.0006796911,0.0009100982,0.0004744828],"domain_scores_gemma":[0.9904737,0.001263734,0.0007881203,0.001753249,0.004937506,0.0007837469],"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":[0.00001413914,0.000004128028,0.0006439374,0.0003909565,0.00001207174,0.000005514153,0.0000207191,0.00005565917,0.00006020126,0.0003470341,0.9971222,0.001323435],"study_design_scores_gemma":[0.00003735056,0.000002444852,0.00452571,0.0003565519,0.000016967,0.00001297126,0.00006641061,0.00007659409,0.0001979282,0.000413244,0.9942726,0.00002128869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002115825,0.00002075384,0.00003077307,0.00001785631,0.00001038251,0.000007244711,0.9992418,0.00008802261,0.0005620751],"genre_scores_gemma":[0.0001777571,0.00004399649,0.0002593795,0.0000318527,0.000003277204,0.00006602709,0.9982973,0.00007919307,0.001041216],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.537138,"threshold_uncertainty_score":0.9203358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03581950586774964,"score_gpt":0.2656711701245992,"score_spread":0.2298516642568496,"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."}}