{"id":"W2027061004","doi":"10.1016/j.enbuild.2014.12.019","title":"Comparison between different measures to reduce cooling requirements of residential building in cooling-dominated environment","year":2014,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Qatar National Research Fund","keywords":"Cooling load; Environmental science; Payback period; Air conditioning; Energy requirement; Climate zones; Efficient energy use; Engineering; Civil engineering; Mechanical engineering; Geography; Physical geography","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":[0.0002900043,0.0002139649,0.0003876936,0.0002476861,0.0000773449,0.00003114954,0.0001705936,0.0001295615,0.00001133617],"category_scores_gemma":[0.00003429907,0.0002210255,0.00004165221,0.0001835719,0.00003738311,0.0001126937,0.00008649957,0.0001206728,3.674469e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007309313,"about_ca_system_score_gemma":0.000005344934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001206275,"about_ca_topic_score_gemma":0.00003835325,"domain_scores_codex":[0.9986728,0.00005178477,0.0004729902,0.0002723793,0.0002369303,0.0002931476],"domain_scores_gemma":[0.9995407,0.00006985399,0.00008367074,0.0001794214,0.0000192871,0.0001070559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000855679,0.00003794819,0.01085869,0.00004251746,0.00005192014,0.000001014412,0.0001942765,0.9008389,0.0686592,0.003862301,0.0001400175,0.01522768],"study_design_scores_gemma":[0.001431434,0.0001823077,0.0168744,0.000499899,0.00007978251,0.000002933712,0.00004850379,0.1852704,0.7870269,0.0008476222,0.007057955,0.0006778943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8216499,0.000179359,0.1777729,0.00002239154,0.0001447702,0.00005602214,0.000001800349,0.00006987922,0.0001030103],"genre_scores_gemma":[0.9967057,0.0001190712,0.002937138,0.00002440994,0.0001125529,0.00001756239,0.00001148001,0.00003462107,0.0000375111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7183677,"threshold_uncertainty_score":0.901316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01670299662130935,"score_gpt":0.2447132147280457,"score_spread":0.2280102181067364,"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."}}