{"id":"W7108728763","doi":"10.15468/dl.scfeau","title":"Occurrence Download","year":2025,"lang":"","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); State (computer science); 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":[0.001018913,0.001825819,0.001577036,0.004716014,0.001105325,0.002661948,0.002787924,0.002097077,0.1663445],"category_scores_gemma":[0.006779958,0.0008948356,0.001160223,0.009276112,0.0004685241,0.002475973,0.002636266,0.002097808,0.22302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001775634,"about_ca_system_score_gemma":0.00249223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0253145,"about_ca_topic_score_gemma":0.04028961,"domain_scores_codex":[0.9989274,0.0001385733,0.0001385295,0.0003715343,0.0002485539,0.0001754486],"domain_scores_gemma":[0.9971769,0.0007943013,0.0002654156,0.0007240477,0.0007191171,0.0003202822],"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":[0.00002657928,0.00001066819,0.0003558145,0.000473618,0.00001257709,0.000013142,0.00002339064,0.0001070651,0.0000967292,0.0003565121,0.9971212,0.001402793],"study_design_scores_gemma":[0.00006594449,0.000007552679,0.00189368,0.0001969962,0.00001261482,0.00003267907,0.00007834024,0.0001472321,0.0001670148,0.0007216063,0.9966596,0.00001665394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003993817,0.00002367274,0.00004084907,0.0000397986,0.0000123664,0.000005275487,0.9988245,0.0003716057,0.0006420391],"genre_scores_gemma":[0.0001623751,0.0000321151,0.0002057548,0.00005048796,0.0000036708,0.00004254563,0.9988386,0.0001529155,0.0005115386],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8336555,"threshold_uncertainty_score":0.5564777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}