{"id":"W4391877934","doi":"10.1109/csrswtc60855.2023.10427221","title":"Smoke Detection Model Based on Adaptive Feature Extraction Network","year":2023,"lang":"en","type":"article","venue":"","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Allergy, Asthma and Immunology Foundation","keywords":"Computer science; Feature extraction; Smoke; Extraction (chemistry); Feature (linguistics); Artificial intelligence; Pattern recognition (psychology); Data mining; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001247105,0.0001155111,0.00009324931,0.00011014,0.000089787,0.00001863002,0.00003898678,0.0001382973,0.00003194464],"category_scores_gemma":[0.000006940747,0.0001102367,0.00006337811,0.0004486117,0.000005035773,0.00007597621,0.000003935647,0.0002054709,0.0002770585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009117121,"about_ca_system_score_gemma":0.00000601205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002522551,"about_ca_topic_score_gemma":0.00008301411,"domain_scores_codex":[0.999399,0.00001955712,0.0001044414,0.0001373878,0.0001467844,0.0001928135],"domain_scores_gemma":[0.999724,0.00004089796,0.00001529926,0.0001492853,0.00002144512,0.00004912977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000285564,0.00000324912,0.00001235079,0.000009317169,0.000008830103,0.000002040332,0.00002588606,0.9800241,0.001237085,0.00005841226,0.008722782,0.009867366],"study_design_scores_gemma":[0.0001580573,0.00004214232,0.002173887,0.00001655441,0.000004262321,0.000002431882,0.00003558026,0.9899095,0.00188306,0.00007197152,0.00557774,0.0001248403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03987594,0.00003274726,0.8931577,0.0003655991,0.003934928,0.0004236448,0.000009571307,0.006445261,0.05575458],"genre_scores_gemma":[0.9974486,0.000007634804,0.0002944779,0.0001001857,0.0002467556,0.00003759587,0.000007684891,0.00003245738,0.001824653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9575726,"threshold_uncertainty_score":0.4495321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01888767798471798,"score_gpt":0.2232817576646596,"score_spread":0.2043940796799417,"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."}}