{"id":"W7108706624","doi":"10.15468/dl.ywq8v4","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":"Download; Matching (statistics); Range (aeronautics); Metadata","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":[0.001108726,0.001794943,0.00159321,0.005055929,0.0009960145,0.002603428,0.00277056,0.002016936,0.1748288],"category_scores_gemma":[0.006887954,0.0009087801,0.001071971,0.009565455,0.0004647866,0.002422081,0.002578768,0.001989322,0.2314539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001680478,"about_ca_system_score_gemma":0.002426323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02162042,"about_ca_topic_score_gemma":0.03385758,"domain_scores_codex":[0.9988958,0.0001503779,0.0001456479,0.0003845795,0.0002474036,0.0001762331],"domain_scores_gemma":[0.9971402,0.0008273501,0.000283926,0.0007282244,0.0007011612,0.000319069],"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":[0.00002738296,0.000009893428,0.0003543157,0.000494401,0.00001342906,0.00001233304,0.00002227075,0.0001093124,0.00009756041,0.000358367,0.9970593,0.00144146],"study_design_scores_gemma":[0.00006751439,0.000007199041,0.001880187,0.0002033715,0.0000140687,0.00003329285,0.00007571701,0.0001377803,0.0001743423,0.0007439974,0.9966455,0.00001710623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003330027,0.0000224186,0.00003985228,0.00003243829,0.00001029717,0.000004326549,0.9990127,0.0003044172,0.0005401819],"genre_scores_gemma":[0.0001564471,0.00003113188,0.0001963427,0.00004365754,0.000003433905,0.00003880046,0.9989337,0.0001402386,0.0004560781],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8251712,"threshold_uncertainty_score":0.5848607,"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."}}