{"id":"W7077448354","doi":"10.15468/dl.9jffwg","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":[0.0008730802,0.002101235,0.001525637,0.005006962,0.0009071126,0.002384877,0.002800724,0.001960999,0.1253441],"category_scores_gemma":[0.005356029,0.0008558602,0.001133397,0.009259693,0.0004296885,0.002255548,0.002506224,0.00188327,0.1917561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647859,"about_ca_system_score_gemma":0.00220468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02138739,"about_ca_topic_score_gemma":0.03417138,"domain_scores_codex":[0.9989894,0.0001312418,0.0001296697,0.0003374694,0.0002398948,0.000172358],"domain_scores_gemma":[0.9978994,0.0005185475,0.0001975959,0.0005729019,0.0005479028,0.0002635782],"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":[0.00003263907,0.00001160812,0.0003421857,0.0004766812,0.00001488195,0.00001601009,0.00001974804,0.0001314734,0.0001162947,0.0003819368,0.9970504,0.001406106],"study_design_scores_gemma":[0.00007483142,0.000008020475,0.001704409,0.0001601335,0.00001275307,0.00003960615,0.00005817992,0.0001842039,0.0002212944,0.0007731171,0.9967476,0.00001571789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000507941,0.00003055642,0.0000435375,0.00003740835,0.00001091013,0.000005863839,0.9986413,0.0004935685,0.0006860772],"genre_scores_gemma":[0.0001752402,0.00003246909,0.000165051,0.00004371798,0.000003138376,0.00003339358,0.9990224,0.0001383032,0.0003863635],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8746559,"threshold_uncertainty_score":0.4193178,"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."}}