{"id":"W6929409227","doi":"10.4224/23002018","title":"Numerical modelling of water mist systems in protection of mass timber residential buildings","year":2020,"lang":"en","type":"report","venue":"NPARC","topic":"Neonatal Respiratory Health Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Mist; Compartment (ship); Fire protection; Fire Dynamics Simulator; Parametric statistics; Firefighting","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002414606,0.0003242485,0.000374794,0.0002816418,0.0004528681,0.000634256,0.0005760794,0.0007784208,0.001232056],"category_scores_gemma":[0.0008134619,0.0002322203,0.0003767729,0.000260082,0.0005444851,0.0004282715,0.0004711173,0.0002522661,0.0001395787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006689953,"about_ca_system_score_gemma":0.000671503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01075609,"about_ca_topic_score_gemma":0.006874379,"domain_scores_codex":[0.9998355,0.00004330883,0.000009128028,0.00002190694,0.0000508287,0.00003929394],"domain_scores_gemma":[0.9997074,0.0001710145,0.00004949537,0.00001908733,0.00003267999,0.00002030298],"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":[0.00005825755,0.00001938908,0.001071403,0.00002106288,0.000004816481,0.00007744511,0.00004677904,0.9905949,0.005397488,0.0005515944,0.00004169407,0.002115198],"study_design_scores_gemma":[0.000008685216,0.00004293329,0.0005719792,0.000003658418,0.000003822102,0.00001794193,0.00003791612,0.9973567,0.001581625,0.0001487409,0.0002215175,0.000004569451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.899583,0.0002394969,0.09040373,0.00009617964,0.00003452799,0.00009845531,0.0001352896,0.000137232,0.009272112],"genre_scores_gemma":[0.9934908,0.00007860806,0.004940071,0.000005488593,0.000002873815,0.00002498077,0.00002577792,0.000008989226,0.001422454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01075609,"threshold_uncertainty_score":0.02138698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1216467217086921,"score_gpt":0.3695077509254319,"score_spread":0.2478610292167397,"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."}}