{"id":"W6924291619","doi":"10.15468/dl.8b9cet","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); 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":[0.0008941044,0.002050268,0.001521847,0.004597553,0.001048062,0.002419924,0.002934695,0.002100795,0.1460209],"category_scores_gemma":[0.00590244,0.0008805026,0.001305757,0.008852278,0.0004538746,0.002293185,0.002563648,0.001990093,0.204519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001677592,"about_ca_system_score_gemma":0.002390181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02702439,"about_ca_topic_score_gemma":0.04298545,"domain_scores_codex":[0.9990109,0.0001263545,0.0001238633,0.0003414211,0.0002359667,0.0001615619],"domain_scores_gemma":[0.9977872,0.0006068376,0.0001844553,0.0006000406,0.0005691252,0.0002522797],"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":[0.00002824985,0.0000120935,0.0003718783,0.0004537174,0.00001423808,0.00001542012,0.00002238734,0.0001344241,0.0001083826,0.0003343206,0.9969978,0.001507135],"study_design_scores_gemma":[0.00007963237,0.0000099207,0.002070501,0.0001952213,0.00001562053,0.00004571145,0.0000871755,0.0002336449,0.0002216022,0.0008268796,0.996195,0.00001918194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005522902,0.00003330093,0.00005433224,0.0000463299,0.00001478505,0.000006170913,0.9985467,0.0005617641,0.0006814095],"genre_scores_gemma":[0.0001759543,0.00003245438,0.0002118283,0.00004548427,0.000003350528,0.00003787346,0.9988899,0.0001538637,0.0004492465],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8539791,"threshold_uncertainty_score":0.4884885,"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."}}