{"id":"W7080138837","doi":"10.15468/dl.4vwrgj","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); Data set; 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":[0.00084711,0.002071967,0.001461074,0.004773727,0.0009154751,0.002350413,0.002827115,0.00204815,0.1211113],"category_scores_gemma":[0.005138602,0.0008359585,0.001151888,0.008807628,0.0004374251,0.002247827,0.002401742,0.001948641,0.1825223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001692344,"about_ca_system_score_gemma":0.002252322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02224986,"about_ca_topic_score_gemma":0.03806538,"domain_scores_codex":[0.9990126,0.0001292379,0.0001241305,0.0003386323,0.0002283663,0.0001669588],"domain_scores_gemma":[0.9979618,0.0005069952,0.0001907407,0.0005690038,0.000516536,0.0002550078],"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":[0.00003182976,0.00001232595,0.0003335748,0.0004400962,0.00001419826,0.00001583145,0.00001840832,0.0001390921,0.0001114487,0.0003862916,0.9971378,0.001359135],"study_design_scores_gemma":[0.00008098763,0.000008730196,0.001801112,0.0001511704,0.00001300456,0.00004116715,0.00005734903,0.0002037487,0.0002174517,0.0008274031,0.9965813,0.00001650155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005296537,0.00002893276,0.00004437301,0.00003968489,0.00001132497,0.000006123367,0.9986607,0.0004746954,0.0006811741],"genre_scores_gemma":[0.000171316,0.00002977378,0.0001699073,0.00004487731,0.00000303054,0.00003286565,0.9990206,0.0001254412,0.0004022005],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8788887,"threshold_uncertainty_score":0.4051578,"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."}}