{"id":"W6962182224","doi":"10.15468/dl.db7fuc","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009189748,0.001816764,0.001528024,0.00497347,0.001058084,0.002993179,0.002729409,0.001809559,0.1991829],"category_scores_gemma":[0.006264946,0.0009003737,0.001342754,0.009606253,0.0004050342,0.002668759,0.002785619,0.001894357,0.2843809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453973,"about_ca_system_score_gemma":0.002334588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02042129,"about_ca_topic_score_gemma":0.03301617,"domain_scores_codex":[0.9989084,0.0001337699,0.0001395139,0.0003920152,0.0002387722,0.0001874747],"domain_scores_gemma":[0.9975163,0.0006506483,0.0002013678,0.0006960309,0.0006761144,0.0002595991],"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":[0.00002851712,0.000009310234,0.0004193981,0.0005190472,0.00001444641,0.00001635453,0.00002658537,0.0001172761,0.0001205533,0.0004053694,0.9962867,0.002036411],"study_design_scores_gemma":[0.00004436735,0.000006171135,0.001504694,0.0001528975,0.00001163053,0.00003165105,0.00007291433,0.000143746,0.0001649634,0.0007233463,0.9971285,0.00001510547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004791198,0.00003187173,0.00007212759,0.00004493348,0.00001787404,0.000006406708,0.9980832,0.0007078407,0.0009877491],"genre_scores_gemma":[0.0001945564,0.00004228074,0.0002806002,0.00005499145,0.000004916784,0.00004444993,0.9984065,0.0002624201,0.0007092679],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8008171,"threshold_uncertainty_score":0.6663333,"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."}}