{"id":"W6943529189","doi":"10.15468/dl.wdeu3h","title":"Occurrence Download","year":2023,"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); 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":[0.0009835431,0.001898053,0.001561134,0.005655182,0.0009302695,0.002495243,0.002601879,0.001831246,0.1813468],"category_scores_gemma":[0.005804326,0.0009385702,0.00115255,0.01047425,0.0004391494,0.00231653,0.002843202,0.001895509,0.2433239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470446,"about_ca_system_score_gemma":0.002299906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02026959,"about_ca_topic_score_gemma":0.03623615,"domain_scores_codex":[0.9989446,0.0001350015,0.0001409882,0.0003626608,0.0002358248,0.0001810019],"domain_scores_gemma":[0.9974,0.0006831019,0.0002510195,0.0007001206,0.0006506491,0.0003151876],"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":[0.0000316249,0.0000105254,0.0003855261,0.0005908827,0.00001637132,0.00001585281,0.00002654077,0.0001077661,0.0001418149,0.0003948706,0.9967045,0.001573681],"study_design_scores_gemma":[0.00006471068,0.000007499968,0.001833591,0.0001750402,0.00001368479,0.00003577022,0.00006685198,0.000106606,0.0001938389,0.0007077821,0.9967778,0.00001677722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003828637,0.00002263097,0.00004349712,0.0000269635,0.000009643086,0.000005089557,0.9988548,0.0003789323,0.0006202162],"genre_scores_gemma":[0.0001487315,0.00003124995,0.0001970634,0.00003958437,0.000003241799,0.00004015819,0.9989204,0.0001760196,0.0004435617],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8186532,"threshold_uncertainty_score":0.6066655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}