{"id":"W4200117174","doi":"10.32920/17315693","title":"Improving Fire Safety Systems Based On Internet Of Things And Deep Learning","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Firefighting; Smoke; Internet of Things; Fire safety; Computer science; Fire protection; The Internet; Architectural engineering; Snapshot (computer storage); Computer security; Simulation; Aeronautics; Real-time computing; Engineering; Civil engineering; World Wide Web; Geography; Operating system; Cartography","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":[0.0005664782,0.0008788008,0.0004882658,0.0005568205,0.0004334951,0.0007685382,0.00094767,0.0007055975,0.001864729],"category_scores_gemma":[0.001390638,0.0003499527,0.0007492776,0.0003495925,0.0003028914,0.00173073,0.001044707,0.001051705,0.000575566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006408295,"about_ca_system_score_gemma":0.0005489523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00352252,"about_ca_topic_score_gemma":0.00550242,"domain_scores_codex":[0.9997295,0.00003487932,0.00001684172,0.00007166313,0.00009660183,0.00005047813],"domain_scores_gemma":[0.9996983,0.0000700346,0.00003915957,0.0000493562,0.0001141329,0.00002896492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000510212,0.000772975,0.009017117,0.000396921,0.0003558967,0.0003659021,0.0001658792,0.452471,0.04088714,0.005974293,0.01517094,0.4739117],"study_design_scores_gemma":[0.00001484837,0.0001166553,0.001355272,0.00001777322,0.00004558626,0.00003594598,0.0000350362,0.9824722,0.00932395,0.003927934,0.002637357,0.0000173346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1663396,0.001496063,0.7981163,0.001608206,0.0006702448,0.0002603678,0.0006145285,0.01769601,0.01319874],"genre_scores_gemma":[0.897131,0.0005387808,0.09759854,0.0004706976,0.00005808137,0.0001009108,0.0008371083,0.0002048295,0.003060097],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00352252,"threshold_uncertainty_score":0.007004023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005746415966130671,"score_gpt":0.1796836354198048,"score_spread":0.1739372194536741,"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."}}