{"id":"W6887076808","doi":"10.15468/dl.n9y3nj","title":"Occurrence Download","year":2022,"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":[0.001122818,0.001953273,0.001693654,0.005442787,0.001066938,0.002984708,0.00299375,0.002022789,0.1839311],"category_scores_gemma":[0.006738259,0.00102759,0.001178804,0.01104678,0.0004664926,0.002531947,0.002749228,0.002109106,0.2436198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597664,"about_ca_system_score_gemma":0.002427537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02118034,"about_ca_topic_score_gemma":0.03343328,"domain_scores_codex":[0.9988458,0.000153643,0.000153047,0.0004041567,0.0002574457,0.0001859059],"domain_scores_gemma":[0.9972906,0.0007846975,0.0002524491,0.0007183069,0.000648762,0.0003052188],"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":[0.00002674715,0.000009660044,0.0003291282,0.000524107,0.00001483662,0.00001437618,0.00002424265,0.0001074874,0.0001038302,0.0004073022,0.9971514,0.001286932],"study_design_scores_gemma":[0.00006310737,0.000006373449,0.001577444,0.0001838076,0.00001389193,0.00003432424,0.00007203728,0.000120149,0.0001639898,0.0007800818,0.9969677,0.00001703601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003307066,0.00002346112,0.0000470695,0.0000329205,0.00001116249,0.000004617536,0.9988506,0.0003612513,0.0006359008],"genre_scores_gemma":[0.000150967,0.00003418377,0.0002006414,0.00004420612,0.000003406425,0.00004115586,0.9988548,0.0001880389,0.000482674],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8160689,"threshold_uncertainty_score":0.6153109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}