{"id":"W4416074288","doi":"10.32628/ijsrset2513860","title":"Fire Detection Using Deep Learning","year":2025,"lang":"","type":"article","venue":"International Journal of Scientific Research in Science Engineering and Technology","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Deep learning; Fire detection; Convolutional neural network; Fire alarm system; Object detection; Artificial neural network; ALARM","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":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.008273188,0.0001680891,0.0002807234,0.01192146,0.0004736818,0.0008515502,0.00125998,0.0002348961,0.00001029442],"category_scores_gemma":[0.002136679,0.0001758031,0.00006040936,0.008997914,0.001432475,0.0007362085,0.0003618806,0.001907779,0.000005535555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135027,"about_ca_system_score_gemma":0.0003947487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003677702,"about_ca_topic_score_gemma":0.0000153774,"domain_scores_codex":[0.996573,0.00007183354,0.0008219099,0.0004198545,0.001461091,0.0006522932],"domain_scores_gemma":[0.9972506,0.0002058223,0.0001399364,0.0002213178,0.00204875,0.0001336179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003261142,0.00005304495,0.002119774,0.0000933078,0.00007505187,0.000147611,0.0004791019,0.236383,0.4787912,0.002655901,0.000008803727,0.2791606],"study_design_scores_gemma":[0.000452239,0.000087367,0.0009961047,0.0009284453,0.000005362309,0.0004068359,0.001108517,0.9503162,0.03655597,0.0006265269,0.008377296,0.0001391623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701958,0.002917286,0.01336439,0.000816451,0.01224739,0.0001343922,0.000001111249,0.00005731752,0.0002658804],"genre_scores_gemma":[0.9985451,0.0004003258,0.0007296157,0.000001826239,0.0001262308,0.000004023243,1.810284e-7,0.0000125116,0.0001802482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7139332,"threshold_uncertainty_score":0.9992776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02666420802851662,"score_gpt":0.3369565944370934,"score_spread":0.3102923864085768,"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."}}