{"id":"W6905901877","doi":"10.15468/dl.wbdwxn","title":"Occurrence Download","year":2024,"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; Estonian; Lepidoptera genitalia; Forester; Matching (statistics); Range (aeronautics)","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":[0.0009603387,0.002318123,0.002053475,0.006773859,0.001343997,0.004470357,0.002849482,0.002055726,0.3816331],"category_scores_gemma":[0.007263975,0.001079721,0.001660352,0.0108724,0.0003914982,0.004389577,0.003955751,0.002266932,0.4433934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518334,"about_ca_system_score_gemma":0.002150382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01401983,"about_ca_topic_score_gemma":0.02469284,"domain_scores_codex":[0.9986822,0.0001518759,0.0001945678,0.0004778707,0.0002943273,0.0001991719],"domain_scores_gemma":[0.997053,0.0007756207,0.0002226009,0.0007677986,0.0008139877,0.0003669679],"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":[0.00004086863,0.00001171264,0.000253674,0.0004795774,0.00001219689,0.00001777008,0.00002091175,0.0000778207,0.00007811858,0.0004215255,0.9956631,0.002922805],"study_design_scores_gemma":[0.00006017602,0.00001046381,0.001007427,0.0001503774,0.00001228361,0.00004087732,0.0000702609,0.0002088597,0.0001358726,0.001298302,0.9969875,0.0000177111],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005840945,0.00005636683,0.0001360668,0.00008198455,0.00003492591,0.00001299516,0.9952229,0.001852472,0.002543875],"genre_scores_gemma":[0.0002605248,0.00007348284,0.0005510903,0.0001114189,0.00001294488,0.00006066172,0.9965135,0.0006421533,0.001774131],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.618367,"threshold_uncertainty_score":0.8820254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}