{"id":"W6943121339","doi":"10.15468/dl.a4tbgf","title":"Occurrence Download","year":2025,"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); Flammulina; Range (aeronautics); Data access","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":[0.0009103349,0.001906065,0.001503672,0.00512058,0.0009833673,0.002602424,0.002643258,0.002026995,0.1800862],"category_scores_gemma":[0.005984986,0.000865343,0.001146913,0.009818678,0.0004342832,0.002261796,0.002491558,0.001920288,0.2415543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001649203,"about_ca_system_score_gemma":0.00231968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02328061,"about_ca_topic_score_gemma":0.03634236,"domain_scores_codex":[0.9990056,0.0001311318,0.0001284218,0.0003440104,0.0002228344,0.0001681147],"domain_scores_gemma":[0.9976168,0.0007009259,0.0002251545,0.000588348,0.0005942541,0.0002746476],"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":[0.00002562523,0.000009833291,0.0003447997,0.0005058278,0.00001277183,0.00001428272,0.00002326256,0.0001109248,0.0001030028,0.0003657539,0.9971629,0.00132084],"study_design_scores_gemma":[0.00006541615,0.000007848249,0.001761897,0.0002029909,0.00001420756,0.00003692376,0.00007794392,0.0001509904,0.0001826598,0.0007310993,0.9967508,0.00001728113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003930664,0.0000262636,0.00004202606,0.00003611189,0.00001245945,0.000004684348,0.9988128,0.0003722314,0.000654213],"genre_scores_gemma":[0.0001623223,0.00003491536,0.0001921565,0.00004705325,0.000003605368,0.0000379811,0.9988258,0.0001580666,0.0005380125],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8199138,"threshold_uncertainty_score":0.6024483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}