{"id":"W6887115280","doi":"10.15468/dl.xksex4","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Alien; Range (aeronautics)","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":[0.0009357941,0.002075283,0.001624437,0.005039512,0.0009593318,0.002552774,0.002770692,0.002020933,0.1613672],"category_scores_gemma":[0.00585561,0.0009515284,0.001269659,0.01032384,0.000439761,0.00225388,0.002540648,0.001909902,0.2247261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001586645,"about_ca_system_score_gemma":0.002422364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02225987,"about_ca_topic_score_gemma":0.03600907,"domain_scores_codex":[0.9989128,0.0001449813,0.0001403037,0.0003875695,0.0002330771,0.0001813179],"domain_scores_gemma":[0.9975485,0.0007045501,0.0002372258,0.0006227502,0.0006098056,0.0002771827],"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":[0.00003357556,0.00001043977,0.0003752378,0.0005612393,0.00001583032,0.00001433661,0.00002080517,0.000119234,0.0001178835,0.0003730831,0.9969784,0.001379892],"study_design_scores_gemma":[0.00007710122,0.000009435063,0.001913344,0.0001931031,0.00001579191,0.00003648598,0.00006117768,0.0001307416,0.0001969273,0.0008419067,0.996505,0.00001889843],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000362752,0.00002578515,0.00003487936,0.0000301215,0.00001037392,0.000004204664,0.9989795,0.0003126725,0.000566224],"genre_scores_gemma":[0.0001408562,0.000034751,0.0001675305,0.00004550531,0.000003234208,0.00003596235,0.9989755,0.0001384798,0.0004581553],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8386328,"threshold_uncertainty_score":0.539827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}