{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002745128,0.0008961227,0.0007439999,0.0004966233,0.0002954519,0.0005605534,0.001607252,0.0008234598,0.001727719],"category_scores_gemma":[0.000546614,0.0004127297,0.0007776157,0.0003879742,0.0003200556,0.0008749503,0.0006823358,0.0009414218,0.0004016255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008711851,"about_ca_system_score_gemma":0.0007269588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01231788,"about_ca_topic_score_gemma":0.01069403,"domain_scores_codex":[0.9998146,0.00001268929,0.000008459373,0.00008195796,0.00004351974,0.00003883063],"domain_scores_gemma":[0.9998689,0.00003285001,0.00001923466,0.000009301806,0.00005892461,0.00001085481],"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":[0.0002719307,0.0001670878,0.003871961,0.0001024448,0.0001052719,0.0002041719,0.00004729433,0.755649,0.0184538,0.003493477,0.003212147,0.2144214],"study_design_scores_gemma":[0.000002740638,0.00001371086,0.0002062954,0.000001948509,0.000008208912,0.00001179187,0.000001404073,0.9985847,0.0007189445,0.0003267782,0.0001208435,0.000002706214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08159683,0.001015159,0.9090477,0.0005139024,0.0001486052,0.00008679529,0.0003565634,0.002369466,0.004865022],"genre_scores_gemma":[0.9350721,0.0005274259,0.05523195,0.0002870309,0.00006117899,0.0001698085,0.0005869292,0.00005989245,0.008003631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01231788,"threshold_uncertainty_score":0.02449238,"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."}}