{"id":"W4412906974","doi":"10.3390/fire8080306","title":"Entity Recognition Method for Fire Safety Standards Based on FT-FLAT","year":2025,"lang":"en","type":"article","venue":"Fire","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"123 Certification (Canada)","funders":"","keywords":"Fire safety; Computer science; Forensic engineering; Environmental science; Business; Engineering; Risk analysis (engineering)","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":[0.0006490542,0.0009750071,0.0006079976,0.004429095,0.0006492164,0.001127827,0.001529747,0.001042164,0.004735308],"category_scores_gemma":[0.002358906,0.0002618733,0.001435492,0.003380969,0.0003126036,0.003786163,0.001181474,0.001148217,0.003624204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001117655,"about_ca_system_score_gemma":0.001492996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01438141,"about_ca_topic_score_gemma":0.01705822,"domain_scores_codex":[0.9990816,0.00007412678,0.0001145544,0.000400469,0.0002316196,0.00009751943],"domain_scores_gemma":[0.9992794,0.0001511065,0.00009003936,0.0001740122,0.0002677951,0.0000376159],"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":[0.0002505476,0.0001852584,0.006897153,0.0004153324,0.0001731645,0.0006712781,0.0002910552,0.03680883,0.02302539,0.01843349,0.05047068,0.8623778],"study_design_scores_gemma":[0.00003315422,0.0000911452,0.005677904,0.00006883912,0.0001658328,0.00062715,0.0002518987,0.8943688,0.03094867,0.02049245,0.04720848,0.00006573337],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05825867,0.002296324,0.8958418,0.0007615198,0.0003754043,0.0004825631,0.009573836,0.01818349,0.01422645],"genre_scores_gemma":[0.4910615,0.001732919,0.4317115,0.0004290375,0.0002412103,0.0003760728,0.0559065,0.0005908759,0.01795026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01438141,"threshold_uncertainty_score":0.02859539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.028265250961733,"score_gpt":0.3203016199240973,"score_spread":0.2920363689623643,"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."}}