{"id":"W6887235779","doi":"10.15468/dl.vudng8","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":[0.0009603287,0.001796764,0.001508341,0.005025833,0.0009421863,0.002484877,0.002693684,0.001836736,0.1560408],"category_scores_gemma":[0.005679411,0.0008363286,0.001092425,0.009916179,0.0004229894,0.002183755,0.002382696,0.001865535,0.2151519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001467619,"about_ca_system_score_gemma":0.002306743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02170471,"about_ca_topic_score_gemma":0.0380498,"domain_scores_codex":[0.9990134,0.0001347924,0.0001273934,0.0003374977,0.0002248011,0.0001620166],"domain_scores_gemma":[0.9976858,0.0006436234,0.0002210007,0.0005937536,0.000580996,0.0002748552],"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":[0.00002706442,0.00001017491,0.0003560231,0.0005168161,0.00001407524,0.00001447697,0.00002328484,0.0001134833,0.0001065549,0.0003900834,0.9970086,0.001419402],"study_design_scores_gemma":[0.00006475326,0.000007370935,0.00190659,0.0001945994,0.00001389251,0.00003703991,0.00007153513,0.0001251602,0.0001736041,0.0007900386,0.9965979,0.00001754393],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004279346,0.00002770399,0.00004452592,0.0000321455,0.00001091475,0.000004917169,0.9988074,0.000339743,0.0006898385],"genre_scores_gemma":[0.0001617613,0.00003332316,0.0001850885,0.00004206581,0.000003304216,0.00003826864,0.998914,0.0001379187,0.0004842761],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8439592,"threshold_uncertainty_score":0.5220084,"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."}}