{"id":"W7127367876","doi":"10.1109/icarce67182.2025.11362232","title":"EdgeFlame: A Physics-Inspired Framework for Zero-Shot Fire and Smoke Recognition","year":2025,"lang":"","type":"article","venue":"","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Drone; Scalability; Smoke; Key (lock); Deep learning; Fire detection; Latency (audio)","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":[0.0003654804,0.001016996,0.0006404873,0.0007326517,0.0003426894,0.0006312967,0.002254011,0.0009967521,0.003276828],"category_scores_gemma":[0.0009543388,0.0003870932,0.0009881078,0.0003345289,0.0004005555,0.001291652,0.001301661,0.001328044,0.000895709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005682915,"about_ca_system_score_gemma":0.0006515594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009059578,"about_ca_topic_score_gemma":0.02137437,"domain_scores_codex":[0.9998558,0.00001722452,0.000004279793,0.00006340117,0.00003814356,0.00002117368],"domain_scores_gemma":[0.9999068,0.00002935137,0.000009760318,0.00001941086,0.00002295965,0.00001172727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003126091,0.0004472806,0.004154752,0.0002847949,0.0002852202,0.0002378599,0.0001443675,0.3599691,0.03393329,0.01076538,0.0233587,0.5661067],"study_design_scores_gemma":[0.000008002262,0.00003236474,0.0004370016,0.000009525922,0.000007908248,0.00004849474,0.00001077128,0.9918888,0.002274815,0.003480736,0.001791881,0.000009755757],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02447997,0.0005699621,0.9618451,0.0002066456,0.000121239,0.0001129235,0.0008785378,0.008860225,0.002925383],"genre_scores_gemma":[0.5300404,0.000543617,0.4532974,0.0008499453,0.0001094999,0.0002908801,0.0053941,0.0007834567,0.008690662],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009059578,"threshold_uncertainty_score":0.01801372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03438619916795335,"score_gpt":0.268009501300649,"score_spread":0.2336233021326956,"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."}}