{"id":"W6905696578","doi":"10.15468/dl.mme88a","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009008573,0.001821331,0.001550139,0.004951278,0.001041376,0.002962158,0.002714753,0.001814119,0.1957252],"category_scores_gemma":[0.006014609,0.0009062648,0.001348848,0.009672321,0.0004101449,0.002583876,0.002734053,0.00187045,0.2765054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001435957,"about_ca_system_score_gemma":0.002300462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0204642,"about_ca_topic_score_gemma":0.03214509,"domain_scores_codex":[0.9989578,0.0001273154,0.0001319314,0.0003768734,0.0002233279,0.0001827668],"domain_scores_gemma":[0.997645,0.0006203474,0.0001965286,0.0006542929,0.0006329758,0.0002509892],"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":[0.00002919766,0.000009386903,0.0004468704,0.00054528,0.00001563731,0.00001671366,0.00002732418,0.0001276789,0.0001259554,0.0004062401,0.9962483,0.002001449],"study_design_scores_gemma":[0.00004809944,0.000006629785,0.00166591,0.0001589838,0.00001274456,0.00003375139,0.00007818971,0.0001586391,0.0001715333,0.0007702056,0.9968795,0.00001593351],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004861831,0.00003240893,0.00006964224,0.00004335036,0.00001749301,0.000005983728,0.9981798,0.0006889065,0.0009139432],"genre_scores_gemma":[0.0002045313,0.00004261476,0.000272726,0.00005382492,0.000004935948,0.00004297042,0.9984637,0.0002550821,0.0006596446],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8042748,"threshold_uncertainty_score":0.6547661,"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."}}