{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000481078,0.0007107462,0.0005702483,0.001016394,0.0003126537,0.0008673031,0.0008812849,0.0007918488,0.001943351],"category_scores_gemma":[0.001088234,0.0003887476,0.0007438953,0.0005770515,0.0002990744,0.001055346,0.0008785169,0.001097363,0.0007197476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001118215,"about_ca_system_score_gemma":0.0007337568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006661433,"about_ca_topic_score_gemma":0.009089108,"domain_scores_codex":[0.9997254,0.00003776341,0.00001303424,0.0000708372,0.00009490317,0.00005814125],"domain_scores_gemma":[0.9996895,0.00007841945,0.00004492676,0.00004124245,0.0001213865,0.00002449059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004007219,0.0002606881,0.008317702,0.000174789,0.0002220662,0.0001667917,0.0000543789,0.3029218,0.02832229,0.006860976,0.01297555,0.6393222],"study_design_scores_gemma":[0.000005782218,0.00002525162,0.0006201649,0.00001345677,0.00001160893,0.0000347665,0.000006700719,0.9883206,0.006680758,0.0028734,0.001398332,0.000009323793],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07746843,0.001379932,0.9067348,0.0007727959,0.0002738125,0.00008478684,0.0007350206,0.004670809,0.007879602],"genre_scores_gemma":[0.7971627,0.001008413,0.1900084,0.0006153099,0.000111619,0.00007944099,0.00173596,0.0001631705,0.009114833],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006661433,"threshold_uncertainty_score":0.01324534,"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."}}