{"id":"W6924323484","doi":"10.15468/dl.g9jeem","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","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":[0.00008876128,0.0002328346,0.0002084895,0.0001046076,0.0001150559,0.0000994683,0.0003660993,0.0003137291,0.0007076527],"category_scores_gemma":[0.00005213968,0.000268824,0.0001120341,0.0003133359,0.00006193249,0.000431458,0.0001613878,0.0002963059,0.02620219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003727977,"about_ca_system_score_gemma":0.00006629303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006553464,"about_ca_topic_score_gemma":0.00001333042,"domain_scores_codex":[0.9991466,0.00001653628,0.0002872518,0.0001137811,0.0002317848,0.0002040703],"domain_scores_gemma":[0.9993159,0.00001223867,0.00006113331,0.0003957941,0.0001226609,0.0000923082],"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":[0.000008325828,0.000008785581,0.0001027027,0.0003214263,0.00002818839,8.013357e-7,0.00001206547,0.0009620572,1.039292e-8,1.783275e-7,0.9961072,0.002448262],"study_design_scores_gemma":[0.000189534,0.000006249723,0.0000259629,0.000004006583,0.00003550835,0.00000131931,0.00003591662,0.00003470952,5.653355e-7,4.523903e-7,0.9994332,0.0002326131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008703378,0.00002366186,0.00008359727,0.00003382496,0.001163737,0.0001754327,0.997618,0.0002955871,0.0005191009],"genre_scores_gemma":[0.000009772381,0.0001670389,0.000001441938,0.0001829694,8.397313e-7,0.000002284019,0.9996354,6.613326e-9,2.487744e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02549454,"threshold_uncertainty_score":0.9999764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006718641128581985,"score_gpt":0.1913598841210866,"score_spread":0.1846412429925046,"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."}}