{"id":"W4389883762","doi":"10.1080/19401493.2023.2290103","title":"Comparing overheating risk and mitigation strategies for two Canadian schools by using building simulation calibrated with measured data","year":2023,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Université de Sherbrooke","funders":"","keywords":"Overheating (electricity); Environmental science; Building envelope; Thermal comfort; Roof; Meteorology; Thermal; Engineering; Civil engineering; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007412251,0.0001782246,0.0002365239,0.0004118001,0.0003902481,0.0002454642,0.0001589466,0.00009118374,0.00000162776],"category_scores_gemma":[0.00008123901,0.0001758093,0.00002696435,0.000540542,0.00001933736,0.002567213,0.00002307879,0.000248171,1.22594e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002025592,"about_ca_system_score_gemma":0.0001357383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006806656,"about_ca_topic_score_gemma":0.0004405924,"domain_scores_codex":[0.9987744,0.00003457579,0.0004706542,0.000174881,0.0002597004,0.0002857858],"domain_scores_gemma":[0.9990323,0.0001585537,0.0003040885,0.0001729871,0.0002131569,0.000118913],"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":[0.00005493165,0.000003257614,0.02007644,0.0000646595,0.00005427152,6.453308e-7,0.0001053392,0.9728262,0.003577066,0.0000334303,0.0000320283,0.003171691],"study_design_scores_gemma":[0.0008637643,0.00005552816,0.001860842,0.0003249008,0.00007822121,0.000006877909,0.0001077485,0.9948962,0.001387931,0.0001092592,0.0001012687,0.0002075027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6272352,0.00007454365,0.3723689,0.000006807995,0.0001060898,0.0001136966,0.00001110048,0.00007628841,0.000007423866],"genre_scores_gemma":[0.9820044,0.00003816373,0.01764975,0.000008554794,0.0001600663,0.000002576387,0.00008754575,0.00004704599,0.000001907908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3547692,"threshold_uncertainty_score":0.7169296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04154429524936274,"score_gpt":0.2845156606565959,"score_spread":0.2429713654072332,"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."}}