{"id":"W2888695850","doi":"10.22382/wfs-2018-044","title":"FIRE SAFETY OF CLT BUILDINGS IN CANADA","year":2018,"lang":"en","type":"article","venue":"Wood and Fiber Science","topic":"Fire dynamics and safety research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fire safety; Forensic engineering; Environmental science; Engineering; Civil engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005913025,0.0002840816,0.0001597422,0.001386724,0.004430281,0.001359839,0.001018129,0.0002852151,0.003114715],"category_scores_gemma":[0.001570198,0.0002147296,0.0002612205,0.001218612,0.001131038,0.0003863342,0.001069751,0.0005124987,0.0002959811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04427104,"about_ca_system_score_gemma":0.04901043,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9874645,"about_ca_topic_score_gemma":0.9955767,"domain_scores_codex":[0.9983637,0.00006316073,0.00002707767,0.00008248577,0.001098318,0.0003652314],"domain_scores_gemma":[0.9987041,0.00007844152,0.0000991796,0.00002752474,0.0009180013,0.0001727194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005119041,0.0003215001,0.2624605,0.0008930278,0.00006857547,0.002783898,0.01554454,0.04719782,0.02413611,0.05491346,0.03314431,0.5580243],"study_design_scores_gemma":[0.00003165593,0.0002550419,0.7215829,0.0004150989,0.00003500372,0.0008612146,0.02267904,0.02304355,0.007714943,0.00316548,0.2200427,0.0001733161],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8052523,0.002830759,0.01068624,0.002437106,0.000094118,0.0003030547,0.001995941,0.0003577869,0.1760428],"genre_scores_gemma":[0.9747877,0.001274475,0.00506156,0.0001854642,0.00001071377,0.000046899,0.0008531117,0.00003849354,0.0177417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04427104,"threshold_uncertainty_score":0.3212104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004822129331991048,"score_gpt":0.2021239109070165,"score_spread":0.1973017815750255,"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."}}