{"id":"W6905909289","doi":"10.15468/dl.ttzp7a","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); Range (aeronautics); Set (abstract data type)","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":[0.0008961906,0.002000996,0.00152442,0.004742223,0.001044312,0.002414035,0.002861557,0.0019825,0.1450495],"category_scores_gemma":[0.005619592,0.0008641515,0.001285094,0.009182871,0.0004565008,0.002249602,0.002552743,0.001946224,0.2019128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00164976,"about_ca_system_score_gemma":0.002431611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0283456,"about_ca_topic_score_gemma":0.04498716,"domain_scores_codex":[0.9990408,0.0001229875,0.0001184895,0.0003287113,0.0002280145,0.0001609352],"domain_scores_gemma":[0.9978735,0.0005805445,0.000179283,0.0005852646,0.0005373703,0.0002440021],"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":[0.00002791874,0.00001144824,0.0003807832,0.0004370876,0.0000139278,0.00001579214,0.00002323449,0.0001324477,0.0001090529,0.0003438701,0.9970039,0.001500539],"study_design_scores_gemma":[0.00007559509,0.000009483851,0.002124117,0.0001958162,0.00001558787,0.00004743518,0.00009164871,0.0002260958,0.0002156663,0.000830986,0.9961487,0.00001892864],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005793244,0.00003389999,0.00005684314,0.00004423053,0.00001417362,0.00000604039,0.9984831,0.0005931077,0.0007106521],"genre_scores_gemma":[0.0001819725,0.00003296928,0.0002081417,0.00004384924,0.000003362693,0.000036831,0.9988816,0.0001610253,0.0004502017],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8549505,"threshold_uncertainty_score":0.4852388,"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."}}