{"id":"W6887003709","doi":"10.15468/dl.kpkkmt","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":"Download; Matching (statistics); Range (aeronautics); Alien; The Internet","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":[0.001011204,0.001846223,0.001594214,0.00513482,0.001037415,0.002594626,0.00267247,0.002122,0.1416451],"category_scores_gemma":[0.006184573,0.0008786325,0.001290546,0.009835496,0.0004578817,0.002259549,0.002497614,0.001968486,0.2054303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582499,"about_ca_system_score_gemma":0.002367795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02143578,"about_ca_topic_score_gemma":0.03517536,"domain_scores_codex":[0.9988931,0.0001553938,0.0001439536,0.0003908217,0.0002374837,0.0001793454],"domain_scores_gemma":[0.9973966,0.000794349,0.0002375559,0.0006754159,0.0006174101,0.000278697],"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":[0.00003097636,0.00001247314,0.0004362216,0.0006220958,0.0000160375,0.00001761556,0.00002562682,0.0001255744,0.0001340485,0.0003713639,0.996717,0.001490877],"study_design_scores_gemma":[0.00007283557,0.00001001147,0.002283094,0.000228233,0.00001706526,0.0000441776,0.00008742136,0.0001598196,0.0001997604,0.000715587,0.9961637,0.00001832766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005081192,0.00003276253,0.00004364745,0.00004006251,0.00001373761,0.000005929243,0.9988403,0.000363191,0.0006094609],"genre_scores_gemma":[0.0001728763,0.00003780865,0.0001921344,0.00004743583,0.0000039702,0.00004494824,0.9989242,0.0001266755,0.0004500363],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8583549,"threshold_uncertainty_score":0.47385,"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."}}