{"id":"W3135552448","doi":"10.22215/etd/2020-14039","title":"Holistic Indoor Environmental Quality &amp; Energy Simulation: Generative Design Assessment Methodology for Heritage Building Retrofits","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Conservation Techniques and Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Architectural engineering; Intervention (counseling); Quality (philosophy); Environmental quality; Energy consumption; Energy conservation; Process (computing); Indoor air quality; Environmental impact assessment; Environmental resource management; Environmental design; Environmental planning; Computer science; Environmental economics; Engineering; Risk analysis (engineering); Business; Environmental science; Civil engineering; Environmental engineering; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004072835,0.0008520506,0.000407839,0.00106125,0.0008636358,0.002691212,0.001274829,0.0008570657,0.008749366],"category_scores_gemma":[0.005656045,0.0004875324,0.000986682,0.0007144691,0.001450588,0.001246355,0.002552334,0.0009974968,0.0008297437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001310376,"about_ca_system_score_gemma":0.001888089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001210744,"about_ca_topic_score_gemma":0.003146352,"domain_scores_codex":[0.9981893,0.001200654,0.00006759556,0.0001237308,0.0003523897,0.00006644765],"domain_scores_gemma":[0.9974895,0.001836391,0.0001098272,0.0002634144,0.0002364526,0.000064361],"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":[0.0001448083,0.0005987359,0.006118375,0.001062218,0.0001656195,0.000362655,0.01673895,0.3482945,0.01280513,0.2782801,0.005573836,0.3298552],"study_design_scores_gemma":[0.0001381058,0.000446652,0.002562067,0.0008161322,0.0001341269,0.0003846777,0.006970737,0.7178763,0.01132215,0.1591801,0.1000721,0.00009684652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0231351,0.0000981878,0.9511918,0.0002311414,0.00002270363,0.0005407236,0.0001475151,0.0004857787,0.02414706],"genre_scores_gemma":[0.1732387,0.0001563567,0.82072,0.00005598376,0.000004274223,0.001243821,0.0002067921,0.0001837509,0.004190278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008749366,"threshold_uncertainty_score":0.02926952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4584484619880237,"score_gpt":0.4426975038486016,"score_spread":0.01575095813942212,"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."}}