{"id":"W4285105143","doi":"10.5383/juspn.16.01.005","title":"Fire Risk Prediction Using Cloud-based Weather Data Services","year":2022,"lang":"en","type":"article","venue":"Journal of Ubiquitous Systems and Pervasive Networks","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Norges Forskningsråd","keywords":"Environmental science; Meteorology; Risk assessment; Cloud computing; Forensic engineering; Engineering; Geography; Computer science; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009895726,0.0001805023,0.0003752288,0.0001025578,0.0003904336,0.0001015154,0.0003267251,0.0001050513,0.0000361419],"category_scores_gemma":[0.000007962021,0.0001629711,0.00009113381,0.0002053955,0.00001786605,0.0002246652,0.00008918958,0.0005628807,9.514941e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001415848,"about_ca_system_score_gemma":0.00003931368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003630059,"about_ca_topic_score_gemma":0.00004239061,"domain_scores_codex":[0.9983219,0.0002517091,0.0006643591,0.0001734492,0.0003639695,0.0002246391],"domain_scores_gemma":[0.998915,0.00009316554,0.0004164983,0.0003453192,0.0001095999,0.0001204451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005471102,0.00001843966,0.00513331,0.00019481,0.0001558202,0.00003609161,0.0003966631,0.9891673,0.0001625223,0.000003105762,0.003125334,0.001551834],"study_design_scores_gemma":[0.000541284,0.0001864649,0.0007079752,0.0001980774,0.00009497163,0.0008079757,0.001710758,0.9440995,0.000004895818,0.000002591966,0.05150246,0.0001430793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9244874,0.02975973,0.02849416,0.00004555545,0.01605614,0.0004179557,0.0003868878,0.0001443652,0.0002078037],"genre_scores_gemma":[0.9964144,0.0005592808,0.00006856626,0.00003780439,0.002800498,0.000007009703,0.00002249315,0.00004474263,0.00004516139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07192703,"threshold_uncertainty_score":0.6645767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01671307852906496,"score_gpt":0.212630525431769,"score_spread":0.195917446902704,"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."}}