{"id":"W6924568126","doi":"10.15468/dl.fc5qbd","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Fire dynamics and safety research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Species name; Polygon (computer graphics)","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":[0.0001754724,0.0002383129,0.0002021241,0.0001019708,0.000101416,0.0002035473,0.0004220267,0.000316792,0.0009762543],"category_scores_gemma":[0.00003135345,0.0002459414,0.0001299038,0.000331026,0.0000824577,0.0004532634,0.0002373205,0.0004670363,0.6021522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003894673,"about_ca_system_score_gemma":0.00006819088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001047527,"about_ca_topic_score_gemma":0.00001681419,"domain_scores_codex":[0.9988557,0.00001602666,0.0002751739,0.000142942,0.0004140754,0.0002961427],"domain_scores_gemma":[0.9993494,0.00001153456,0.00003220769,0.0003684055,0.0001047662,0.0001337599],"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":[0.000008428086,0.00000604968,0.00005264979,0.0006821128,0.00004429318,0.000004708061,0.00001938735,0.0002919574,3.090242e-8,1.269451e-7,0.9969746,0.001915612],"study_design_scores_gemma":[0.00009494326,0.00001293112,0.000015978,0.000004704308,0.00002595135,0.000003840335,0.00003154292,0.00006767317,5.18451e-7,0.000001818629,0.9995031,0.0002369539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001604324,0.00008009341,0.000005887693,0.00006582255,0.0009861237,0.0001896339,0.9978167,0.0002649654,0.000430306],"genre_scores_gemma":[0.00002665306,0.0003328898,7.121275e-7,0.0000518911,0.000001662368,0.000003282351,0.9995828,2.306198e-8,1.174449e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.601176,"threshold_uncertainty_score":0.9999993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016014394452739,"score_gpt":0.2145159858069774,"score_spread":0.20435584186245,"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."}}