{"id":"W7105901633","doi":"10.15468/dl.bsbjuc","title":"Occurrence Download","year":2025,"lang":"","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Backbone network; Matching (statistics); Download; Range (aeronautics); 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":[0.0008782436,0.001970214,0.001723286,0.006370162,0.001263874,0.003728187,0.002760136,0.00198212,0.2614706],"category_scores_gemma":[0.007193475,0.0008645387,0.001437586,0.01115763,0.0003986455,0.003638864,0.003490317,0.001985681,0.3696329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001607476,"about_ca_system_score_gemma":0.00245845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01813091,"about_ca_topic_score_gemma":0.031918,"domain_scores_codex":[0.9986779,0.0001509851,0.0001790617,0.0004594496,0.0003019291,0.0002306876],"domain_scores_gemma":[0.9971938,0.0006964067,0.000236989,0.0007536453,0.0007751712,0.0003438545],"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":[0.00004014305,0.00001145397,0.0003917832,0.0005757308,0.00001328191,0.000019915,0.0000278258,0.00009022648,0.0001153499,0.0004353311,0.9952326,0.003046274],"study_design_scores_gemma":[0.00003778498,0.000008930426,0.001096112,0.0001658683,0.00001093063,0.00004146328,0.0000787596,0.0001464203,0.000141422,0.0007445688,0.9975138,0.00001402193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000669474,0.00007438142,0.00009868778,0.00007789659,0.0000339617,0.00000973888,0.9964277,0.001331811,0.0018788],"genre_scores_gemma":[0.0002641691,0.00008754655,0.0004038983,0.0001043391,0.00001004832,0.00004596677,0.9972696,0.0004305314,0.001383955],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7385294,"threshold_uncertainty_score":0.8747063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}