{"id":"W7108080377","doi":"10.15468/dl.2eseh4","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); Polygon (computer graphics); Range (aeronautics); Data file","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":[0.0008644216,0.001665487,0.001563743,0.005123282,0.001003272,0.002687785,0.002595301,0.001851858,0.1963651],"category_scores_gemma":[0.006619468,0.0008932707,0.001102173,0.009819571,0.0003756128,0.002376851,0.002527934,0.001796818,0.2530048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001639831,"about_ca_system_score_gemma":0.002375219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02165204,"about_ca_topic_score_gemma":0.03435482,"domain_scores_codex":[0.9989429,0.0001263587,0.0001399669,0.0003755667,0.000232679,0.0001825303],"domain_scores_gemma":[0.9975386,0.0006725507,0.0002429648,0.0006085984,0.0006713212,0.0002660265],"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":[0.00003026805,0.000009175657,0.0004528396,0.0006335166,0.00001426034,0.00001536937,0.00002423503,0.000111402,0.0001086893,0.0004068836,0.9962436,0.001949834],"study_design_scores_gemma":[0.0000535922,0.00000675173,0.001672546,0.0002045617,0.00001302451,0.0000347905,0.00007341228,0.0001310628,0.0001564112,0.000629873,0.9970094,0.00001449162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003717673,0.0000289673,0.0000462525,0.00003386036,0.00001121198,0.000004340538,0.9987828,0.0003799395,0.0006754899],"genre_scores_gemma":[0.0001776698,0.00004252417,0.0002298848,0.0000491603,0.00000394951,0.00003986567,0.9986624,0.0001707352,0.0006238505],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8036349,"threshold_uncertainty_score":0.6569066,"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."}}