{"id":"W2611894824","doi":"10.1615/ichmt.2004.cht-04.710","title":"EVALUATION OF AN APPROXIMATE METHOD FOR PREDICTING THE U-VALUE OF A WINDOW WITH A BETWEEN-PANES LOUVERED SHADE","year":2004,"lang":"en","type":"article","venue":"","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Toronto Metropolitan University","funders":"","keywords":"Enclosure; Louver; Window (computing); Computational fluid dynamics; Mechanics; Thermal conduction; Finite volume method; Heat transfer; Convection; Range (aeronautics); Materials science; Optics; Computer science; Physics; Mechanical engineering; Engineering; Electrical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008856598,0.00007445778,0.0001220422,0.00003924328,0.00003664955,0.000006893018,0.00009027289,0.00004695235,0.000004284026],"category_scores_gemma":[0.00002922819,0.00004950101,0.00002724943,0.0001381691,0.00001671176,0.0001096435,0.000007418194,0.00004023008,2.480353e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002900402,"about_ca_system_score_gemma":0.00003983625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008073777,"about_ca_topic_score_gemma":0.0000387269,"domain_scores_codex":[0.9993694,0.00003838612,0.0001706304,0.00008590423,0.0002436151,0.00009199962],"domain_scores_gemma":[0.999589,0.00005718936,0.00005950797,0.0001512627,0.0001260548,0.00001693876],"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":[0.0000123164,0.00001311347,0.0001528299,0.00004575526,0.00007069681,2.048604e-8,0.0004520068,0.9899274,0.000937847,0.002912681,0.000001177409,0.005474222],"study_design_scores_gemma":[0.0007764993,0.000092203,0.0005107096,0.00004332019,0.0001821351,0.000001497983,0.000174696,0.9276762,0.06702061,0.003458233,0.000003319314,0.00006059595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3824437,0.0000236697,0.6168495,0.00001377635,0.00002128945,0.0002311832,0.00000529698,0.00006060402,0.0003509551],"genre_scores_gemma":[0.8053291,0.000001471338,0.1945538,0.000004342388,0.0000274855,0.0000470105,0.00001610706,0.00001481736,0.000005878313],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4228854,"threshold_uncertainty_score":0.2018593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02247046269266309,"score_gpt":0.2739214627776941,"score_spread":0.251451000085031,"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."}}