{"id":"W6961933469","doi":"10.15468/dl.k8bdkh","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); 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":[0.0008915574,0.001883929,0.001485918,0.00505431,0.0009830676,0.002541555,0.002709391,0.00201388,0.1831049],"category_scores_gemma":[0.00610715,0.000896709,0.001155935,0.009664505,0.0004303511,0.00233262,0.002499111,0.001912547,0.2335321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001696744,"about_ca_system_score_gemma":0.00240808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02479617,"about_ca_topic_score_gemma":0.03848124,"domain_scores_codex":[0.9990159,0.0001257443,0.0001254527,0.0003402168,0.0002261665,0.0001665847],"domain_scores_gemma":[0.9975786,0.0007080055,0.0002188454,0.0006083997,0.000606193,0.0002801473],"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":[0.00002471568,0.000009562026,0.0003391997,0.0004761114,0.00001249903,0.00001369945,0.00002276351,0.0001090211,0.00009615828,0.0003616364,0.9972284,0.001306307],"study_design_scores_gemma":[0.00006584432,0.000007587143,0.001773305,0.000193869,0.00001404828,0.00003611702,0.00007686368,0.0001536505,0.0001865624,0.0007447948,0.9967299,0.00001742547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003843595,0.000025846,0.0000434677,0.00003733859,0.00001235442,0.000005090249,0.9987696,0.0003863623,0.0006816207],"genre_scores_gemma":[0.0001699706,0.00003565844,0.0002021227,0.00004895438,0.000003529879,0.00004088397,0.9987515,0.0001664496,0.0005808856],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8168951,"threshold_uncertainty_score":0.6125469,"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."}}