{"id":"W6887234812","doi":"10.15468/dl.sp6ka3","title":"Occurrence Download","year":2025,"lang":"en","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); Confidentiality; Data set","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":[0.0009343111,0.001838645,0.001481624,0.004844945,0.0009614294,0.002766593,0.002690941,0.001932643,0.1733444],"category_scores_gemma":[0.00579355,0.000934784,0.001209545,0.009271083,0.0004034446,0.002519436,0.002631664,0.001966867,0.2369161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595232,"about_ca_system_score_gemma":0.002352748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01965964,"about_ca_topic_score_gemma":0.03012449,"domain_scores_codex":[0.9989676,0.0001271538,0.0001407835,0.0003754476,0.0002226757,0.0001663058],"domain_scores_gemma":[0.9978181,0.0005941283,0.0002033786,0.000592655,0.0005476564,0.0002440478],"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":[0.00002796596,0.00001002661,0.0003576188,0.0005495962,0.00001447403,0.00001476925,0.00002477548,0.0001152928,0.0001161594,0.000408273,0.996576,0.001784945],"study_design_scores_gemma":[0.00005381533,0.000006376425,0.001491429,0.0001815779,0.00001274279,0.00003368049,0.0000659107,0.0001394674,0.0001786329,0.0007112992,0.9971098,0.00001525778],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003866423,0.00002807373,0.00005530246,0.00003775683,0.00001301962,0.000005655599,0.9985974,0.0004691228,0.0007549502],"genre_scores_gemma":[0.0001639849,0.00003913656,0.0002385454,0.00004931657,0.000003572991,0.00004264437,0.9986917,0.0001857108,0.0005853542],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8266556,"threshold_uncertainty_score":0.5798947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}