{"id":"W7093096551","doi":"10.15468/dl.gr734e","title":"Occurrence Download","year":2025,"lang":"","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Literature, Culture, and Aesthetics","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Confidentiality","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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003563346,0.000891766,0.0007509162,0.0001919865,0.00222366,0.002537512,0.001236218,0.0008324896,0.009559358],"category_scores_gemma":[0.0001396917,0.0008405539,0.0005642558,0.0003335537,0.0009888462,0.002848282,0.0007021332,0.0009210407,0.09071679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004579383,"about_ca_system_score_gemma":0.0004404285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004472787,"about_ca_topic_score_gemma":0.00004933916,"domain_scores_codex":[0.9965371,0.0001672992,0.001119614,0.0005473433,0.0008894918,0.0007390878],"domain_scores_gemma":[0.9966372,0.00003615515,0.0007085922,0.001043229,0.001244584,0.0003302967],"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":[0.0001533503,0.0001851594,0.0002644021,0.0009203457,0.0001347975,0.000005498399,0.003337976,0.000005759603,1.177659e-8,0.0001334742,0.9923897,0.002469487],"study_design_scores_gemma":[0.0008293086,0.0001073391,0.000008733296,0.00003906282,0.0003002076,0.000005972106,0.003430394,3.792936e-7,0.000002198659,0.00001041108,0.9944266,0.0008393888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004194468,0.0003150209,0.000002486175,0.0004093976,0.003587185,0.0007364953,0.9854606,0.0001328571,0.008936494],"genre_scores_gemma":[0.0001034595,0.0004615621,0.000001190125,0.003303488,0.00001582585,0.000006675084,0.9960883,2.331897e-8,0.00001944561],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08115743,"threshold_uncertainty_score":0.9994045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441743592058049,"score_gpt":0.2062345958973957,"score_spread":0.1918171599768153,"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."}}