{"id":"W7079606937","doi":"10.15468/dl.k334b5","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":[0.000828574,0.002093684,0.001464302,0.004714103,0.0009147323,0.00232243,0.002795397,0.001990714,0.1158669],"category_scores_gemma":[0.00492986,0.0008477766,0.001133427,0.008872702,0.0004268963,0.002209468,0.002352283,0.001923217,0.1821306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634094,"about_ca_system_score_gemma":0.002182225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02132193,"about_ca_topic_score_gemma":0.0366899,"domain_scores_codex":[0.9990219,0.0001293203,0.0001236383,0.0003376332,0.0002242418,0.0001633444],"domain_scores_gemma":[0.9980356,0.0004856347,0.0001850552,0.0005513817,0.0004960737,0.0002462423],"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":[0.00003246403,0.00001241457,0.0003412323,0.0004434633,0.00001424848,0.00001584154,0.00001921664,0.0001407916,0.0001168118,0.0003886362,0.9970773,0.001397524],"study_design_scores_gemma":[0.00007797372,0.00000872449,0.00183429,0.0001475847,0.00001289599,0.00004196122,0.00005785283,0.0002033718,0.0002222627,0.0008244599,0.9965521,0.00001650845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005647483,0.00003011758,0.00004755821,0.00003845575,0.0000115293,0.000006045535,0.9986162,0.0004965502,0.0006970174],"genre_scores_gemma":[0.0001706648,0.00002961337,0.0001714967,0.00004272478,0.000002969248,0.00003233012,0.9990274,0.000126351,0.000396415],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8841332,"threshold_uncertainty_score":0.3876132,"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."}}