{"id":"W6943451954","doi":"10.15468/dl.ybxeub","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); 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":[0.00105654,0.00205564,0.001621372,0.004871507,0.001034496,0.002607929,0.002809719,0.002241676,0.1548343],"category_scores_gemma":[0.006136237,0.0008862253,0.001305275,0.009071345,0.0004529838,0.002309081,0.002535146,0.00201563,0.2287514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001519701,"about_ca_system_score_gemma":0.002252423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01962251,"about_ca_topic_score_gemma":0.03100701,"domain_scores_codex":[0.9989396,0.0001520397,0.0001338768,0.0003712338,0.0002265326,0.0001768161],"domain_scores_gemma":[0.997428,0.0007605836,0.0002256221,0.0006745161,0.0006290429,0.0002822661],"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":[0.00003103213,0.00001308053,0.000405369,0.0005516741,0.00001493051,0.00001608028,0.00002223887,0.0001299851,0.0001233593,0.0003288951,0.9969007,0.001462654],"study_design_scores_gemma":[0.00008184383,0.00001079157,0.002024945,0.0002270017,0.00001650401,0.00004125674,0.0000811785,0.0001919915,0.0002164985,0.0007788147,0.9963098,0.00001938992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004626306,0.00003022304,0.0000450633,0.00003992368,0.00001372477,0.000006061735,0.9988135,0.0004131049,0.0005921448],"genre_scores_gemma":[0.0001582907,0.00003363323,0.0001952986,0.00004869426,0.000003919721,0.00004525954,0.9989434,0.0001393567,0.0004321515],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8451657,"threshold_uncertainty_score":0.5179725,"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."}}