{"id":"W6943570314","doi":"10.15468/dl.rppfs8","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; The Internet","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":[0.0009766254,0.001852467,0.001529017,0.004992165,0.001023717,0.002591339,0.002677693,0.002045118,0.1632741],"category_scores_gemma":[0.006180202,0.0008816557,0.001209871,0.009653895,0.0004498801,0.002398537,0.002599129,0.001919905,0.2345397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015385,"about_ca_system_score_gemma":0.002298857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02067075,"about_ca_topic_score_gemma":0.03304886,"domain_scores_codex":[0.9989905,0.0001380834,0.0001294112,0.0003512395,0.0002211887,0.0001695515],"domain_scores_gemma":[0.9974157,0.0007310764,0.0002328563,0.000676994,0.0006557556,0.0002877318],"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":[0.00002736643,0.00001111647,0.0003889539,0.000529909,0.00001325104,0.00001561015,0.00002345715,0.0001166111,0.0001154419,0.0003491686,0.9969249,0.001484216],"study_design_scores_gemma":[0.00006591081,0.00000863312,0.001860421,0.0002023614,0.00001332421,0.00003727355,0.00008129156,0.0001441481,0.0001816269,0.0006943237,0.9966942,0.00001648544],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004486502,0.00002778322,0.00004421548,0.00004071969,0.00001441013,0.000005776464,0.9987774,0.0003799297,0.0006649032],"genre_scores_gemma":[0.0001652309,0.00003508456,0.0001999174,0.00004878387,0.000004203361,0.00004348285,0.9988642,0.0001453576,0.0004938253],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8367259,"threshold_uncertainty_score":0.5462062,"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."}}