{"id":"W4362630955","doi":"10.1016/j.ijheatmasstransfer.2023.124156","title":"Similarity analysis between helium and fire smoke in sub-scale wind tunnel test for investigation of smoke spread during photovoltaic roof fires","year":2023,"lang":"en","type":"article","venue":"International Journal of Heat and Mass Transfer","topic":"Fire dynamics and safety research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Université de Sherbrooke","keywords":"Roof; Smoke; Environmental science; Dimensionless quantity; Helium; Wind speed; Wind tunnel; Meteorology; Marine engineering; Mechanics; Structural engineering; Aerospace engineering; Engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002379073,0.0001841182,0.0002430455,0.0005896805,0.0002986897,0.000233606,0.000380387,0.0004542765,0.0008776142],"category_scores_gemma":[0.0005228048,0.0001383752,0.0002699909,0.0002506194,0.0002177769,0.0003680119,0.0002589599,0.0002402034,0.0001126341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009020053,"about_ca_system_score_gemma":0.0001163525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007310616,"about_ca_topic_score_gemma":0.001553481,"domain_scores_codex":[0.9998056,0.00001508818,0.00001104071,0.0000363365,0.0001004988,0.0000313938],"domain_scores_gemma":[0.9995011,0.0001509232,0.0000606502,0.0000273817,0.0001846819,0.00007522314],"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":[0.001793043,0.0006079092,0.1226572,0.0001112898,0.00006730734,0.001053549,0.0005061923,0.004780775,0.8511418,0.0001758804,0.0002390557,0.01686604],"study_design_scores_gemma":[0.00005532539,0.003449127,0.6686296,0.00001855651,0.00009403826,0.001241748,0.001505995,0.08514412,0.2391757,0.0002384362,0.0003915026,0.00005583444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985173,0.00002034993,0.001217754,0.000004103144,0.000006727555,0.000006666491,0.00003234715,0.00001594347,0.0001787974],"genre_scores_gemma":[0.9994904,0.000007444128,0.0003199747,0.000003960845,0.00000150236,0.000002698312,0.00003884571,0.000002558987,0.0001325271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008776142,"threshold_uncertainty_score":0.002935946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01844033449480895,"score_gpt":0.2581758071481258,"score_spread":0.2397354726533168,"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."}}