{"id":"W1644268358","doi":"10.1109/coase.2015.7294280","title":"Using real-time sensing data for predicting future state of building fires","year":2015,"lang":"en","type":"article","venue":"","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Data assimilation; SAFER; Firefighting; Computer science; Real-time computing; Kalman filter; Smoke; Big data; Environmental science; Meteorology; Data mining; Artificial intelligence; Computer security; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003709748,0.0003607805,0.0002077553,0.0005188314,0.0001843924,0.0003899788,0.000410479,0.0004438675,0.0006034416],"category_scores_gemma":[0.00100839,0.000175264,0.0002803646,0.0003679982,0.000168918,0.0009490625,0.0002245846,0.0004495474,0.0001892024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002043336,"about_ca_system_score_gemma":0.0002614016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003857124,"about_ca_topic_score_gemma":0.006837584,"domain_scores_codex":[0.9998885,0.00002063654,0.00000831151,0.00002796705,0.00004435725,0.00001015185],"domain_scores_gemma":[0.9996943,0.0001227539,0.00005259424,0.0000604233,0.00005683117,0.00001313489],"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":[0.0002680196,0.0001853905,0.03802599,0.000191158,0.00008700736,0.0002052681,0.0002054122,0.6898398,0.05212982,0.004064124,0.001062194,0.2137358],"study_design_scores_gemma":[0.000005096968,0.00004269337,0.009632016,0.00001539721,0.00001831509,0.00004553879,0.00005305179,0.976487,0.01174814,0.00113013,0.0008024816,0.00002018449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5102955,0.0005131138,0.4834464,0.000216553,0.0001433719,0.00003740846,0.0008463016,0.000868071,0.003633282],"genre_scores_gemma":[0.9498556,0.0003007821,0.04883563,0.0000153124,0.00002208062,0.0000160311,0.000443964,0.00002049193,0.0004900246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003857124,"threshold_uncertainty_score":0.007669389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05837253327760507,"score_gpt":0.2952689284007005,"score_spread":0.2368963951230954,"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."}}