{"id":"W6887291214","doi":"10.15468/dl.tp2h4c","title":"Occurrence Download","year":2021,"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); Data set","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":[0.0009953466,0.002001841,0.001581102,0.005553439,0.0008841392,0.002459848,0.002722261,0.002006046,0.1655892],"category_scores_gemma":[0.006201809,0.0009199717,0.001187378,0.01004552,0.0004348773,0.002225226,0.002675825,0.001914125,0.2177706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001725744,"about_ca_system_score_gemma":0.002356417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02220583,"about_ca_topic_score_gemma":0.03619014,"domain_scores_codex":[0.9989141,0.0001435701,0.0001499291,0.0003668323,0.0002464661,0.0001790764],"domain_scores_gemma":[0.9971968,0.0007498894,0.0002758728,0.0007565067,0.0006811519,0.0003396962],"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":[0.00003120043,0.00001075919,0.0003602224,0.0005727377,0.00001579322,0.00001425248,0.0000212549,0.0001261195,0.0001204909,0.0003227391,0.9969609,0.001443428],"study_design_scores_gemma":[0.00008247291,0.000009293834,0.00218294,0.000189505,0.00001525114,0.00003439763,0.00006463798,0.0001558595,0.00019229,0.0006625981,0.9963933,0.000017477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003741081,0.00002238696,0.00003111268,0.00003063397,0.000009205454,0.000005146157,0.9990689,0.0003057258,0.0004896192],"genre_scores_gemma":[0.0001567725,0.00003073604,0.000163817,0.00003832735,0.000003066051,0.00004110168,0.9990315,0.000119848,0.0004148385],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8344108,"threshold_uncertainty_score":0.553951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}