{"id":"W6905771406","doi":"10.15468/dl.rg77kt","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien","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":[0.0009262908,0.002130808,0.001563981,0.004750319,0.001028803,0.002504689,0.002804975,0.00229208,0.1201552],"category_scores_gemma":[0.005365822,0.0008189618,0.001267563,0.008453093,0.0004761965,0.002109531,0.00238769,0.001996398,0.194213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001662593,"about_ca_system_score_gemma":0.002208614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02102794,"about_ca_topic_score_gemma":0.03347466,"domain_scores_codex":[0.99905,0.0001293071,0.0001212728,0.0003288836,0.0002135772,0.0001571183],"domain_scores_gemma":[0.9979693,0.0005826906,0.0001902865,0.0005310958,0.0005029739,0.0002236224],"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":[0.00003498157,0.00001473294,0.0004757611,0.0005934178,0.00001596221,0.00001954942,0.00002480266,0.0001784878,0.000135492,0.0003788158,0.996442,0.001685894],"study_design_scores_gemma":[0.00008637094,0.00001075084,0.002033142,0.0002260601,0.00001578815,0.00004519835,0.00008501429,0.0002396522,0.0002307662,0.0008314614,0.9961765,0.00001927202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005612616,0.00003504994,0.00004483362,0.00004264213,0.00001302942,0.000006558994,0.9987563,0.0004106293,0.0006346785],"genre_scores_gemma":[0.0001802387,0.00003769928,0.0002024873,0.00004636219,0.00000368308,0.00004462344,0.9989436,0.0001144414,0.0004268764],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8798448,"threshold_uncertainty_score":0.4019591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01102619812934634,"score_gpt":0.1951968272901498,"score_spread":0.1841706291608034,"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."}}