{"id":"W6924351336","doi":"10.15468/dl.b6vjcq","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); Data set; Identification (biology)","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":[0.0008729417,0.001826133,0.001474083,0.005296692,0.0009681313,0.002575322,0.00262603,0.001951315,0.179609],"category_scores_gemma":[0.005933392,0.000837167,0.001111272,0.01027509,0.000431368,0.002310024,0.00254274,0.001861441,0.2467477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630582,"about_ca_system_score_gemma":0.002370181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02459049,"about_ca_topic_score_gemma":0.03844941,"domain_scores_codex":[0.9990118,0.0001296543,0.000128329,0.000337355,0.0002204542,0.00017234],"domain_scores_gemma":[0.9975411,0.0007078264,0.0002321445,0.0006045531,0.0006382827,0.0002760958],"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":[0.00002569065,0.00000954641,0.0003721672,0.0005204768,0.00001270012,0.00001528483,0.00002543834,0.0001127776,0.000102163,0.000387458,0.9969862,0.001430058],"study_design_scores_gemma":[0.00005842552,0.000007221317,0.001733393,0.0001967134,0.00001304135,0.00003611052,0.00008262792,0.0001352018,0.0001681648,0.000717802,0.9968343,0.00001696525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003920491,0.00002617459,0.00004246591,0.00003603172,0.00001211345,0.000004625178,0.9987752,0.0003727033,0.0006913528],"genre_scores_gemma":[0.0001648376,0.00003641113,0.0001966562,0.00004652474,0.000003644002,0.00003610746,0.9987863,0.0001631,0.0005663583],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.820391,"threshold_uncertainty_score":0.600852,"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."}}