{"id":"W6924609416","doi":"10.15468/dl.dra4ah","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data collection; Data Protection Act 1998","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000303885,0.000325742,0.0003080678,0.0001799038,0.0004670939,0.0005085621,0.002923562,0.0003886879,0.000267203],"category_scores_gemma":[0.0003241687,0.0003668114,0.0001834562,0.0009979694,0.0001592155,0.002491975,0.00246038,0.0004115928,0.0518307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005099734,"about_ca_system_score_gemma":0.0005057452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007567471,"about_ca_topic_score_gemma":0.00004386727,"domain_scores_codex":[0.9980091,0.00009171369,0.0004755933,0.0004093468,0.0006158833,0.0003984011],"domain_scores_gemma":[0.9973379,0.00004664099,0.0002919166,0.00177687,0.0003622806,0.0001843878],"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":[0.000005960629,0.00004402277,0.0000808484,0.0001196644,0.00002479088,0.000002265398,0.00003813077,0.000005131574,8.15899e-9,0.000009967505,0.9983422,0.00132698],"study_design_scores_gemma":[0.0002439079,0.00001931166,0.00002473832,0.000004809111,0.00002981351,0.000005224378,0.00002271657,0.000003272358,0.000001323128,0.000006333721,0.9993227,0.0003159147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001061222,0.00002968692,0.001370684,0.0007084081,0.001211373,0.0003382262,0.9959259,0.0002520321,0.0001531038],"genre_scores_gemma":[0.000001917223,0.00006188879,0.00003141594,0.001110895,0.000001229776,0.00000519418,0.9987873,3.754674e-9,1.738447e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05156349,"threshold_uncertainty_score":0.9998784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01416884943450648,"score_gpt":0.2295099679789074,"score_spread":0.2153411185444009,"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."}}