{"id":"W7108630311","doi":"10.15468/dl.9uuspb","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":[0.001029678,0.001819339,0.001529972,0.004798705,0.00108552,0.002607697,0.002834737,0.002129661,0.1573404],"category_scores_gemma":[0.006580345,0.0008847787,0.001185006,0.009093103,0.0004640376,0.002378959,0.002629143,0.002075943,0.213373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001753992,"about_ca_system_score_gemma":0.002435324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02388418,"about_ca_topic_score_gemma":0.03808432,"domain_scores_codex":[0.9989057,0.0001404566,0.0001433721,0.000374242,0.0002564747,0.0001797431],"domain_scores_gemma":[0.997179,0.0007881213,0.0002631554,0.0007378645,0.0007138089,0.0003179374],"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":[0.00002716843,0.00001191368,0.0003936254,0.0004633205,0.00001287751,0.0000142687,0.00002366793,0.0001124141,0.0001023572,0.0003602948,0.997079,0.001399051],"study_design_scores_gemma":[0.00007092024,0.000008285997,0.002060615,0.0001973555,0.00001352789,0.00003586209,0.00008360623,0.0001627076,0.0001823422,0.0007264566,0.9964411,0.00001730283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004538067,0.00002381657,0.00004209557,0.00004060699,0.00001288111,0.00000572797,0.9987973,0.0003867206,0.0006453727],"genre_scores_gemma":[0.0001698116,0.00003017757,0.000201757,0.00004947103,0.00000362445,0.00004266508,0.9988708,0.0001437553,0.0004880418],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8426597,"threshold_uncertainty_score":0.526356,"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."}}