{"id":"W6905960569","doi":"10.15468/dl.vztqzg","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); Alien; Range (aeronautics)","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":[0.001037325,0.002023586,0.001611091,0.004887061,0.001053662,0.002648238,0.002797291,0.002229921,0.1535804],"category_scores_gemma":[0.006412137,0.0008965663,0.001303519,0.008962732,0.0004519624,0.002443615,0.002571669,0.002014876,0.2240816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529505,"about_ca_system_score_gemma":0.002326797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01986756,"about_ca_topic_score_gemma":0.03119331,"domain_scores_codex":[0.9989034,0.0001568216,0.0001396712,0.0003879956,0.0002352946,0.0001767512],"domain_scores_gemma":[0.9972898,0.0007978925,0.0002286762,0.0007289208,0.0006680086,0.0002868002],"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":[0.00003062505,0.00001283109,0.0004103108,0.000551693,0.00001410007,0.00001608311,0.00002267306,0.0001270332,0.0001198616,0.0003407159,0.996852,0.001502059],"study_design_scores_gemma":[0.0000770848,0.0000101601,0.001993542,0.0002233645,0.00001509376,0.00004061796,0.00008249007,0.0001841551,0.0002051713,0.0007991485,0.9963498,0.00001933327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004799253,0.00003107067,0.00004732758,0.000043957,0.00001487885,0.000006498293,0.998733,0.0004403123,0.0006349158],"genre_scores_gemma":[0.0001660001,0.00003598274,0.0002117768,0.00005054235,0.000004117358,0.00004651036,0.9988862,0.0001437384,0.0004553254],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8464196,"threshold_uncertainty_score":0.5137775,"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."}}