{"id":"W4235199316","doi":"10.32920/ryerson.14665767","title":"A Simplified Technique for Thermal Analysis of a Fenestration system with a Venetian Blind","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Glazing; Fenestration; Window (computing); Thermal; Convection; Heat transfer; Convective heat transfer; Computer science; Materials science; Acoustics; Mechanics; Meteorology; Physics; Composite material","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":[0.0001694053,0.0006087532,0.000777263,0.0002686992,0.0005353058,0.0006555861,0.001086043,0.0009938215,0.003906065],"category_scores_gemma":[0.0004102779,0.0004096016,0.0008400473,0.0003640042,0.0004799592,0.000513229,0.0003784304,0.0008157417,0.0006685051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007182994,"about_ca_system_score_gemma":0.001147738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009240811,"about_ca_topic_score_gemma":0.006781525,"domain_scores_codex":[0.9998865,0.00002084366,0.000005503404,0.0000248312,0.00004376574,0.00001856676],"domain_scores_gemma":[0.9999099,0.00003268832,0.00001469697,0.0000187241,0.00001877016,0.000005323057],"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":[0.00001484126,0.00001324123,0.0002891915,0.00006049666,0.000006540883,0.00006481369,0.00004463169,0.9750376,0.01530218,0.005000213,0.0002702977,0.00389602],"study_design_scores_gemma":[0.000005009987,0.00001478423,0.0002866081,0.000006139207,0.00000390451,0.00003226285,0.0000105246,0.9955007,0.001521169,0.0007723845,0.00183922,0.000007262232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08375477,0.0005362007,0.8889068,0.0001767849,0.0001085629,0.0001492001,0.0006670419,0.0006954418,0.02500526],"genre_scores_gemma":[0.8344274,0.0009408037,0.1396372,0.00008796497,0.00004663104,0.0004827837,0.0005317929,0.000191151,0.02365433],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009240811,"threshold_uncertainty_score":0.01837403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01233495711223422,"score_gpt":0.2190434084433272,"score_spread":0.206708451331093,"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."}}