{"id":"W2604625178","doi":"","title":"Calculating Center-Glass Performance Indices of Glazing Systems with Shading Devices","year":2008,"lang":"en","type":"article","venue":"UWSpace (University of Waterloo)","topic":"Structural Analysis of Composite Materials","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"ASHRAE 90.1; Glazing; Air conditioning; Center (category theory); Architectural engineering; Engineering; Computer science; Mechanical engineering; Meteorology; Geography; Civil engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006557209,0.0001367181,0.0003427244,0.0001707307,0.0001382196,0.00001358759,0.0002322913,0.00005119687,0.00002471703],"category_scores_gemma":[0.000001548026,0.0001289301,0.00005550433,0.0001869863,0.00008685722,0.0003747612,0.00005617993,0.00006292803,0.000005699168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004248822,"about_ca_system_score_gemma":0.000007345639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004941492,"about_ca_topic_score_gemma":0.000863409,"domain_scores_codex":[0.9993079,0.00001702215,0.000139196,0.000132975,0.0002086098,0.0001942958],"domain_scores_gemma":[0.999567,0.0000220498,0.0001414578,0.0001521951,0.00006703523,0.0000502985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001011224,0.00002328607,0.5324258,0.001804481,0.0005980503,0.00006313825,0.04637844,0.1982985,0.2196608,0.00005420223,0.00005092849,0.0005412925],"study_design_scores_gemma":[0.002711473,0.0003725325,0.4861345,0.002131134,0.000408534,0.0002328337,0.04771128,0.3116505,0.1471479,0.000004722491,0.0002742256,0.001220313],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993888,0.0000895839,0.00006029199,0.00002099051,0.00008410218,0.00008220797,0.000008457607,0.00008764636,0.000177968],"genre_scores_gemma":[0.9980305,0.00002833739,0.001273674,0.000001325794,0.00002265048,1.211307e-7,0.000008606237,0.00001323588,0.000621576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.113352,"threshold_uncertainty_score":0.747009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009219501652302326,"score_gpt":0.1617235027315279,"score_spread":0.1525040010792256,"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."}}