{"id":"W6924865200","doi":"10.15468/dl.s5j94x","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); Confidentiality; R package","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":[0.0009916283,0.001944817,0.00161677,0.00475946,0.0009913859,0.002583973,0.002786479,0.002072961,0.1677199],"category_scores_gemma":[0.006072081,0.0009148381,0.001136174,0.009354171,0.0004432808,0.002515787,0.002611815,0.002027767,0.2326436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518219,"about_ca_system_score_gemma":0.00231749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01994259,"about_ca_topic_score_gemma":0.03561206,"domain_scores_codex":[0.9989439,0.0001499137,0.000130986,0.0003849523,0.0002235722,0.0001667154],"domain_scores_gemma":[0.9973722,0.0007416407,0.0002433101,0.0007036772,0.0006331322,0.0003061102],"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":[0.00002741597,0.00001058517,0.0003364625,0.0005002999,0.00001337735,0.00001353348,0.00002179555,0.0001118993,0.00009878305,0.0003666594,0.9972346,0.001264595],"study_design_scores_gemma":[0.0000707121,0.00000732811,0.001588229,0.0001740607,0.00001243768,0.00003216853,0.00006375701,0.0001347917,0.0001607336,0.0008478225,0.9968907,0.00001719029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003598756,0.00002419065,0.00004441986,0.00003498565,0.00001107679,0.000005113189,0.9988191,0.0003783103,0.0006468705],"genre_scores_gemma":[0.000159822,0.00003247269,0.0002105476,0.00004938925,0.000003593622,0.00004358848,0.9988281,0.0001677086,0.000504775],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.83228,"threshold_uncertainty_score":0.5610791,"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."}}