{"id":"W7083630098","doi":"10.15468/dl.pxcp39","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Economic and Technological Innovation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003085617,0.0002260142,0.0004082042,0.0002179174,0.0001811691,0.0001316611,0.0005587951,0.0005620734,0.002496663],"category_scores_gemma":[0.0002468035,0.0002731599,0.0001416649,0.0004576878,0.0001324977,0.0007109913,0.000314389,0.0003127037,0.108513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004205348,"about_ca_system_score_gemma":0.00004738086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004241455,"about_ca_topic_score_gemma":0.000005587704,"domain_scores_codex":[0.9986363,0.000008698998,0.0007688387,0.0002998544,0.00004481206,0.000241488],"domain_scores_gemma":[0.9986833,0.0000143489,0.0006243359,0.0005254638,0.00009597714,0.00005657567],"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":[0.00001082775,0.00003061741,0.003279285,0.00009282657,0.00003272587,4.296542e-7,0.00000520328,0.0000030925,2.266398e-9,0.0003316404,0.9955699,0.0006434125],"study_design_scores_gemma":[0.0002483049,0.00002055484,0.0001266774,0.000002121966,0.000008355471,6.543605e-7,0.00002430334,4.995703e-7,8.096736e-7,0.0003433322,0.9989676,0.0002568049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004276,0.00007061008,0.00005450144,0.0004093322,0.0006627892,0.0002426561,0.9952273,0.0001087597,0.002796395],"genre_scores_gemma":[0.0001062836,0.00009287735,0.000003664609,0.0009305804,0.000001257396,0.000006506148,0.9988576,7.61311e-9,0.000001176935],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1060164,"threshold_uncertainty_score":0.999972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02693060965135321,"score_gpt":0.2036235982754454,"score_spread":0.1766929886240922,"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."}}