{"id":"W6924971462","doi":"10.15468/dl.xmxyys","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Statistical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006967561,0.000357189,0.000378767,0.0001862218,0.000343643,0.0007442544,0.002367698,0.0004147619,0.00008679063],"category_scores_gemma":[0.0002517589,0.000372099,0.000199103,0.000982721,0.0001012251,0.00345508,0.001404702,0.0003500366,0.7093785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004281464,"about_ca_system_score_gemma":0.0002824838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001726758,"about_ca_topic_score_gemma":0.00001972671,"domain_scores_codex":[0.9974678,0.0001226103,0.0006058856,0.0004330737,0.000904944,0.0004656927],"domain_scores_gemma":[0.9975508,0.0000505138,0.0004901172,0.001327851,0.0003468668,0.000233876],"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":[0.000005371347,0.00001345439,0.0001337019,0.0001662775,0.00002644309,0.000006695724,0.00005360781,0.00004443072,4.126154e-8,9.133402e-7,0.9981934,0.001355593],"study_design_scores_gemma":[0.0002297611,0.0000263017,0.00008837714,0.000007347091,0.00001668752,0.00001135379,0.00006472696,0.00001104853,0.00000221729,0.000003146023,0.9991664,0.0003725999],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005911551,0.00001146395,0.0007501125,0.0002141125,0.001856468,0.0003861414,0.9960827,0.0005345555,0.0001053515],"genre_scores_gemma":[0.000005126064,0.00003035493,0.00003354652,0.0002236635,0.000002831842,0.00000610896,0.9996981,1.894231e-8,2.568639e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7092917,"threshold_uncertainty_score":0.9998731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01945229432125668,"score_gpt":0.2288614107278058,"score_spread":0.2094091164065491,"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."}}