{"id":"W4396035410","doi":"10.15468/dl.djvjj3","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; Geography; World Wide Web","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":[0.001088052,0.00195088,0.001617886,0.004626041,0.0009743733,0.00260491,0.002851881,0.002042453,0.1666163],"category_scores_gemma":[0.006198419,0.0009710472,0.001156029,0.009247392,0.000444776,0.002298928,0.002482661,0.002135039,0.2189473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001715015,"about_ca_system_score_gemma":0.002413178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0229677,"about_ca_topic_score_gemma":0.03696243,"domain_scores_codex":[0.9989342,0.0001446135,0.0001393422,0.0003679521,0.0002428747,0.0001709282],"domain_scores_gemma":[0.9974639,0.0007345682,0.0002409374,0.0006337633,0.0006305467,0.0002962558],"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":[0.00002690029,0.00001067227,0.0003323943,0.000470658,0.00001422335,0.00001377362,0.0000217094,0.000119288,0.0000994924,0.0003757502,0.9973267,0.001188336],"study_design_scores_gemma":[0.00008238861,0.000006989374,0.001819387,0.0001759767,0.00001372537,0.00003386837,0.0000665077,0.0001619069,0.000179471,0.0007715808,0.9966714,0.0000167896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003411698,0.00002134807,0.00004300998,0.0000337767,0.0000101207,0.000004753401,0.9989104,0.0003551212,0.0005873043],"genre_scores_gemma":[0.0001487401,0.00003001352,0.0001872322,0.00004314839,0.000003177937,0.00003988203,0.9989712,0.000161312,0.0004153204],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8333837,"threshold_uncertainty_score":0.5573869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996441822405556,"score_gpt":0.2168608301763518,"score_spread":0.1968964119522962,"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."}}