{"id":"W7080124214","doi":"10.15468/dl.jvvyhp","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":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009265433,0.002203997,0.001609153,0.005111381,0.0009712221,0.002477409,0.003018645,0.002164077,0.1201116],"category_scores_gemma":[0.005430716,0.0009115144,0.001233719,0.009438648,0.0004664208,0.002333522,0.00257041,0.00205972,0.1839613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001721976,"about_ca_system_score_gemma":0.002376652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02281148,"about_ca_topic_score_gemma":0.03817242,"domain_scores_codex":[0.9989313,0.0001387651,0.0001400523,0.0003638157,0.0002459702,0.0001799999],"domain_scores_gemma":[0.9977967,0.0005482279,0.0002068332,0.0006146522,0.0005615011,0.0002720649],"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":[0.00003378664,0.00001292912,0.0003519458,0.000520691,0.00001604023,0.00001721076,0.00002163964,0.0001406211,0.0001291323,0.0004068366,0.9969876,0.001361596],"study_design_scores_gemma":[0.00008115215,0.00000854783,0.001776344,0.0001656064,0.00001392873,0.00004254971,0.00006200146,0.0001909586,0.0002218645,0.0008085975,0.9966107,0.00001766307],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005122422,0.00003097604,0.00004618084,0.00003839657,0.0000117241,0.000006359475,0.998623,0.0005182464,0.0006738364],"genre_scores_gemma":[0.0001640136,0.0000320633,0.0001788648,0.00004488821,0.000003036276,0.00003454882,0.999044,0.0001345937,0.0003640286],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8798884,"threshold_uncertainty_score":0.4018135,"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."}}