{"id":"W6906183788","doi":"10.15468/dl.z6bzvu","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Lepidoptera genitalia; Norwegian; Matching (statistics); Barcode; Natural history; Pyralidae","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001047428,0.002112324,0.001756459,0.006340147,0.001100722,0.003058426,0.002811709,0.002129873,0.2005658],"category_scores_gemma":[0.007202661,0.001000266,0.001435119,0.01102651,0.0004388033,0.002945467,0.003122715,0.001945379,0.272691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617051,"about_ca_system_score_gemma":0.002333145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01827834,"about_ca_topic_score_gemma":0.02900507,"domain_scores_codex":[0.9987636,0.0001557619,0.0001724734,0.0004486731,0.000257291,0.000202242],"domain_scores_gemma":[0.9972269,0.0007686172,0.000248422,0.0007079761,0.0007386921,0.0003092974],"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":[0.00002981866,0.000009929231,0.0003804732,0.0006862778,0.00001542793,0.00001391301,0.00002437189,0.0001012405,0.00009817535,0.0003135801,0.9965211,0.00180577],"study_design_scores_gemma":[0.00006563222,0.000009217796,0.001696822,0.0002430187,0.00001511751,0.00003627917,0.00008018361,0.0001451432,0.0001503662,0.0006782206,0.9968628,0.00001712788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003510854,0.00003099323,0.00004214709,0.00003611556,0.00001408534,0.000006214906,0.9988036,0.0004145808,0.0006170615],"genre_scores_gemma":[0.0001440108,0.00004262582,0.0002197715,0.00004901483,0.000004504131,0.00005104718,0.9987885,0.0001816402,0.0005189021],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7994342,"threshold_uncertainty_score":0.6709595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}