{"id":"W6887281182","doi":"10.15468/dl.x7qyct","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":[0.000994583,0.001911917,0.001540715,0.004558943,0.001021536,0.002559915,0.002706759,0.00212064,0.1697673],"category_scores_gemma":[0.006460701,0.0008796343,0.001260252,0.008596927,0.0004364384,0.002529528,0.002591074,0.002026784,0.2365313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001528262,"about_ca_system_score_gemma":0.002337836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02062318,"about_ca_topic_score_gemma":0.03432988,"domain_scores_codex":[0.9989374,0.000155859,0.0001306902,0.0003807162,0.0002250914,0.0001702747],"domain_scores_gemma":[0.9972241,0.0008167438,0.000226409,0.0007470077,0.0006925916,0.0002931166],"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":[0.00002703054,0.00001139906,0.000356334,0.0004749597,0.00001206768,0.0000135193,0.00002063417,0.0001106373,0.00009562981,0.0003221429,0.9971924,0.001363174],"study_design_scores_gemma":[0.00007092849,0.000009290759,0.001744892,0.0002005435,0.00001322013,0.00003423659,0.00007472961,0.0001737492,0.0001813755,0.0008340086,0.9966454,0.00001767073],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004447407,0.00002769401,0.00004699221,0.00004571321,0.00001462081,0.000006580377,0.998659,0.000466188,0.0006886604],"genre_scores_gemma":[0.0001691755,0.00003492053,0.0002207309,0.00005646921,0.000004300999,0.00004843255,0.9987663,0.0001709603,0.0005287308],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8302326,"threshold_uncertainty_score":0.5679284,"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."}}