{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001647267,0.0002096711,0.0001861345,0.00007410903,0.0002345629,0.00007664836,0.0006725956,0.0002047878,0.03836867],"category_scores_gemma":[0.00002630716,0.0002520896,0.0001166,0.0003169395,0.00005572785,0.0003418696,0.0003756918,0.0004351497,0.04239037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003332037,"about_ca_system_score_gemma":0.00004298543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007575696,"about_ca_topic_score_gemma":0.000007102167,"domain_scores_codex":[0.9990082,0.00005985307,0.0002874422,0.0001057561,0.0003336534,0.0002050326],"domain_scores_gemma":[0.9990367,0.00001205041,0.00009101118,0.0006951331,0.00006293113,0.0001022128],"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":[0.000008325666,0.00001102772,0.00003950412,0.00008487273,0.00002945653,0.000001129855,0.00001814888,0.001237247,3.172719e-8,7.145506e-8,0.9969839,0.001586319],"study_design_scores_gemma":[0.0001709167,0.00001084228,0.000009791738,8.622173e-7,0.00002484829,0.000003364393,0.00003832799,0.000006001319,0.00000105229,2.508299e-7,0.9994941,0.0002396199],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004270202,0.0001350155,0.00002784189,0.00003303529,0.0005957164,0.0002006283,0.9983275,0.0002331049,0.0004044409],"genre_scores_gemma":[0.00001406401,0.000458084,0.000001555796,0.0002509636,6.158614e-7,0.000008332078,0.9992663,1.932407e-8,6.309915e-8],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.004021706,"threshold_uncertainty_score":0.9999931,"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."}}