{"id":"W2059702012","doi":"10.1007/s10694-011-0237-6","title":"Study of a Video Image Fire Detection System for Protection of Large Industrial Applications and Atria","year":2011,"lang":"en","type":"article","venue":"Fire Technology","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Fire detection; Smoke; Computer science; Detector; Computer vision; Infrared; Fire protection; Artificial intelligence; Environmental science; Engineering; Telecommunications; Optics; Architectural engineering; Physics","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":[0.0002319043,0.0002418352,0.0003443737,0.0003710439,0.0003907089,0.0002861024,0.0005209459,0.0004895763,0.002549384],"category_scores_gemma":[0.0007551573,0.0001127213,0.0002952897,0.0002418894,0.0001839171,0.0003386661,0.00009591263,0.0002117692,0.0003744109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000571881,"about_ca_system_score_gemma":0.0003731279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006016152,"about_ca_topic_score_gemma":0.003224959,"domain_scores_codex":[0.9998191,0.00002607452,0.000006082264,0.0000406971,0.00008393617,0.00002413489],"domain_scores_gemma":[0.9994919,0.0001778056,0.00003311741,0.0000323088,0.000233494,0.00003126639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001550393,0.0005158672,0.008907541,0.0005097932,0.0001000739,0.001186629,0.0004387611,0.02222973,0.8594006,0.001267497,0.001449012,0.1024442],"study_design_scores_gemma":[0.0001080584,0.005491481,0.03895688,0.00003536792,0.0002135595,0.001250473,0.0004896104,0.410099,0.5365121,0.0002484928,0.006552771,0.00004215064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9450513,0.0003365346,0.05002041,0.0001278247,0.00005360365,0.0001710265,0.0001605481,0.0003323254,0.003746411],"genre_scores_gemma":[0.9848394,0.0001599041,0.01085205,0.0000365145,0.00001878118,0.00003580989,0.0001299946,0.00003306319,0.003894416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006016152,"threshold_uncertainty_score":0.01196229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02506898157301485,"score_gpt":0.2230015322629263,"score_spread":0.1979325506899114,"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."}}