{"id":"W4308730547","doi":"10.1177/1420326x221138415","title":"Investigation of the performance of fire suppression systems in protection of mass timber residential buildings","year":2022,"lang":"en","type":"article","venue":"Indoor and Built Environment","topic":"Fire dynamics and safety research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Natural Resources Canada","keywords":"Mist; Fire protection; Environmental science; Moisture; Smoke; Water damage; Environmental engineering; Waste management; Materials science; Engineering; Composite material; Civil engineering; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002063787,0.0000468135,0.00009085108,0.00003842573,0.00003520405,0.000002366951,0.00008145114,0.00002718061,0.00001993523],"category_scores_gemma":[0.000002918814,0.00003804799,0.00001926237,0.00007606009,0.00004992224,0.00003635323,0.00008659105,0.000120923,1.817605e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005378483,"about_ca_system_score_gemma":0.000006480539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002225255,"about_ca_topic_score_gemma":0.000002369996,"domain_scores_codex":[0.9993814,0.00004070429,0.0001953241,0.00006806663,0.0002440274,0.00007051056],"domain_scores_gemma":[0.9998062,0.00001058967,0.00005328807,0.0001136474,0.000003817385,0.00001249632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000359519,0.00001260132,0.07123837,0.0003370038,0.000009285825,3.356954e-7,0.0003415068,0.3610392,0.5659401,0.00002315587,0.00002277575,0.0009997035],"study_design_scores_gemma":[0.0003756279,0.0001260895,0.2459605,0.00009606259,0.000006441174,0.000003237881,0.0001119841,0.624772,0.1282155,0.00005192632,0.0002123764,0.00006830848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993495,0.0001739214,0.00005838793,0.00003836767,0.00007492633,0.0002564053,0.00001405309,0.000003088201,0.00003131949],"genre_scores_gemma":[0.9997499,0.0001123428,0.0000396958,8.773526e-7,0.00000634048,0.00004232968,0.000002925291,0.000006627981,0.00003895469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4377247,"threshold_uncertainty_score":0.1551552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009775998961074657,"score_gpt":0.1867344898240395,"score_spread":0.1769584908629649,"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."}}