{"id":"W6962345942","doi":"10.15468/dl.shh29h","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); Alien; Chin","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":[0.0009752654,0.001933687,0.001525428,0.004732583,0.001052654,0.002738965,0.002878553,0.002084171,0.1755258],"category_scores_gemma":[0.006055619,0.0009221112,0.001219292,0.009066682,0.0004354079,0.002607016,0.002608678,0.002112027,0.2501298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001607102,"about_ca_system_score_gemma":0.002313137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02022273,"about_ca_topic_score_gemma":0.03404843,"domain_scores_codex":[0.9989644,0.0001491259,0.0001237417,0.0003741487,0.0002223968,0.0001661421],"domain_scores_gemma":[0.997549,0.0007012194,0.0002051973,0.0006608645,0.000613661,0.0002700761],"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":[0.0000242848,0.00001074391,0.0003264851,0.0004583536,0.0000121536,0.00001284159,0.00002055328,0.0001050016,0.00009270943,0.0003461458,0.997224,0.001366909],"study_design_scores_gemma":[0.00006317871,0.000007831418,0.001592512,0.0001802715,0.00001224507,0.00003347792,0.00007297468,0.0001481462,0.000165737,0.0008022152,0.9969047,0.00001680057],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004009667,0.00002833768,0.00004683826,0.00004358518,0.00001389619,0.000005976733,0.9986848,0.0004018239,0.0007346387],"genre_scores_gemma":[0.0001549043,0.00003671669,0.0002079985,0.0000546185,0.000004039634,0.00004789087,0.9987488,0.0001618532,0.0005832083],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8244742,"threshold_uncertainty_score":0.5871924,"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."}}