{"id":"W6905772544","doi":"10.15468/dl.s269wq","title":"Occurrence Download","year":2022,"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; Matching (statistics); Range (aeronautics); Alien; The Internet","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":[0.0009984956,0.001892881,0.001568456,0.004853238,0.001006004,0.002565768,0.002685089,0.00212648,0.1660182],"category_scores_gemma":[0.006359462,0.0008922066,0.001220992,0.008884723,0.0004391322,0.002398658,0.002545001,0.001964193,0.2182359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578834,"about_ca_system_score_gemma":0.002277653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0217755,"about_ca_topic_score_gemma":0.03381921,"domain_scores_codex":[0.9989752,0.0001451242,0.0001307253,0.0003565202,0.0002235634,0.0001689067],"domain_scores_gemma":[0.9973282,0.0008214988,0.0002288436,0.0006891349,0.0006511475,0.0002811399],"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":[0.00002759702,0.0000116223,0.0003837434,0.0005410584,0.00001344771,0.00001553615,0.00002333727,0.0001225513,0.0001117275,0.0003540387,0.9969757,0.001419759],"study_design_scores_gemma":[0.00007317793,0.000009139929,0.001934511,0.0002187923,0.00001425004,0.00003840981,0.0000823322,0.0001704122,0.0001869577,0.0007584848,0.9964954,0.0000180521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004465782,0.00002844629,0.00004597419,0.00004283268,0.00001359166,0.000006295813,0.998767,0.0004139534,0.0006373657],"genre_scores_gemma":[0.0001797441,0.00003700113,0.0002166887,0.00005404199,0.000004164732,0.00005019131,0.9987955,0.0001594411,0.0005032403],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8339818,"threshold_uncertainty_score":0.5553862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}