{"id":"W6943629014","doi":"10.15468/dl.tkcpk8","title":"Occurrence Download","year":2021,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peromyscus; Microtus; Equidae; Equus; Wildebeest","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":["insufficient_payload"],"category_scores_codex":[0.0007856832,0.002718013,0.002073196,0.007385333,0.001140685,0.00349902,0.002364143,0.002298133,0.4227637],"category_scores_gemma":[0.005296649,0.0008891734,0.001693118,0.01012677,0.0003716452,0.002886852,0.003609643,0.001947855,0.5130005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513118,"about_ca_system_score_gemma":0.002292354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02074482,"about_ca_topic_score_gemma":0.03478914,"domain_scores_codex":[0.9989241,0.0001065981,0.0001408606,0.0003784277,0.0002362941,0.0002137977],"domain_scores_gemma":[0.9975146,0.0006029356,0.0002003774,0.0005786496,0.0006711537,0.0004323565],"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":[0.00004761655,0.00001646887,0.0003278996,0.0005840022,0.00001257878,0.00002006471,0.00002344228,0.0001070691,0.0001094607,0.0003790216,0.994696,0.003676467],"study_design_scores_gemma":[0.00009510414,0.00001426968,0.001433033,0.000186802,0.00001525249,0.00004295219,0.00007098023,0.0003109883,0.0001493008,0.0009790971,0.9966782,0.00002417875],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005583973,0.00005529317,0.0001009979,0.00005862332,0.00002940219,0.00001112271,0.9956788,0.001766984,0.002242974],"genre_scores_gemma":[0.0002516366,0.00007348591,0.0004887091,0.0001074659,0.00001068049,0.00005525983,0.9968014,0.0004905232,0.001720831],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5772363,"threshold_uncertainty_score":0.8233576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}