{"id":"W4391021147","doi":"10.1109/smarttechcon57526.2023.10391500","title":"Fire Monitoring Method of Ancient Building Repair Stage Based on Machine Learning Algorithm","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":"Horizon College and Seminary","funders":"","keywords":"Vulnerability (computing); Control (management); Firefighting; Fire protection; Computer science; Artificial intelligence; Fire control; Engineering; Machine learning; Architectural engineering; Civil engineering; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000616819,0.0001238344,0.0001817682,0.0001753838,0.00007278904,0.00001195382,0.00007000625,0.00006096774,0.00006551827],"category_scores_gemma":[0.000058659,0.0001180906,0.0001111074,0.000537906,0.000005947907,0.00004454552,0.00001900036,0.0001957523,0.00003734933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007054034,"about_ca_system_score_gemma":0.00000707937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001166937,"about_ca_topic_score_gemma":0.00000220832,"domain_scores_codex":[0.9990711,0.00006133134,0.0002501298,0.0001658829,0.000236566,0.0002149885],"domain_scores_gemma":[0.9995415,0.0001505541,0.00003268589,0.0001874754,0.00002695235,0.00006087615],"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":[0.000005855956,0.000008919223,0.001343932,0.0001546689,0.00002711978,0.00001379288,0.0001534072,0.9086859,0.02179561,0.00002440905,0.0002902482,0.06749612],"study_design_scores_gemma":[0.0001911361,0.00005138172,0.00206028,0.00006305301,0.000003708216,0.000001504879,0.0001557997,0.9466065,0.03358534,8.167484e-7,0.01716561,0.0001148222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1507486,0.0002319309,0.8308784,0.00005973535,0.00306814,0.0003569887,0.00003724751,0.007829294,0.006789651],"genre_scores_gemma":[0.9342831,0.00001902832,0.06302534,0.00001620345,0.0001250907,0.0000190598,0.000007342368,0.0000530516,0.002451742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7835345,"threshold_uncertainty_score":0.4815596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01688631486469697,"score_gpt":0.2670097263266311,"score_spread":0.2501234114619341,"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."}}