{"id":"W6887178432","doi":"10.15468/dl.tush22","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); State (computer science); Confidentiality","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":[0.001082827,0.002010643,0.001617333,0.005112317,0.001022987,0.002559396,0.002940322,0.002126321,0.1543756],"category_scores_gemma":[0.006218392,0.0009553391,0.001190446,0.009858026,0.0004635873,0.00235796,0.002554656,0.002115987,0.2113761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617258,"about_ca_system_score_gemma":0.00235514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02126551,"about_ca_topic_score_gemma":0.03475947,"domain_scores_codex":[0.9989028,0.0001551886,0.0001408039,0.0003820161,0.0002376278,0.0001815585],"domain_scores_gemma":[0.9974031,0.000742034,0.0002462137,0.0006871232,0.0006162418,0.0003052859],"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":[0.00002730534,0.0000117093,0.0003551407,0.0004969989,0.0000148112,0.0000137684,0.00002211098,0.0001265575,0.0001073096,0.0003610125,0.9971532,0.001310076],"study_design_scores_gemma":[0.00007527036,0.000008062445,0.001796706,0.0001860092,0.00001449883,0.00003645503,0.00007121448,0.0001583906,0.0001827827,0.0007730162,0.9966799,0.00001776068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004179091,0.00002659933,0.00004707658,0.0000363137,0.00001243876,0.000005555657,0.9988371,0.0003726962,0.0006205031],"genre_scores_gemma":[0.0001528532,0.00003091666,0.0001875737,0.00004407385,0.000003355583,0.00004299917,0.9989736,0.0001403609,0.0004243894],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8456244,"threshold_uncertainty_score":0.5164378,"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."}}