{"id":"W7080227202","doi":"10.15468/dl.ujg4bh","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Download; Process (computing); Data set","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":[],"consensus_categories":[],"category_scores_codex":[0.000856244,0.002267501,0.001555217,0.005353423,0.0009427408,0.002421265,0.002776517,0.0019087,0.1372277],"category_scores_gemma":[0.005394124,0.0008791831,0.001235298,0.009611136,0.0004328157,0.002234785,0.002522487,0.001853255,0.1998445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001538065,"about_ca_system_score_gemma":0.002284002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02109374,"about_ca_topic_score_gemma":0.03483694,"domain_scores_codex":[0.9989378,0.0001348017,0.0001402519,0.0003684584,0.000241278,0.0001774536],"domain_scores_gemma":[0.997693,0.0005767429,0.0002169316,0.0006056188,0.0006259264,0.0002817335],"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":[0.00003688202,0.00001196317,0.0003588118,0.0005073099,0.00001524307,0.0000159453,0.00001836017,0.0001280224,0.0001282353,0.0003663815,0.9969969,0.001415979],"study_design_scores_gemma":[0.00008573467,0.00001029934,0.001824708,0.0001598756,0.00001515213,0.00004306905,0.00005554346,0.0001833199,0.0002226292,0.0008223534,0.9965584,0.00001886872],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005194912,0.0000297788,0.00004251219,0.00003432425,0.00001234819,0.000005483591,0.9986629,0.0004881196,0.0006724696],"genre_scores_gemma":[0.0001600583,0.00003408749,0.000180193,0.00004364899,0.000003542759,0.00003204249,0.9989582,0.0001471578,0.0004409361],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1372277,"threshold_uncertainty_score":0.4590725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116959082794947,"score_gpt":0.2070852442648293,"score_spread":0.1953893359853346,"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."}}