{"id":"W4386432295","doi":"10.1007/978-981-19-9822-5_88","title":"Initial Models of Existing Canadian Buildings for Building Energy Code Analysis","year":2023,"lang":"en","type":"book-chapter","venue":"Environmental science and engineering","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Building code; Architectural engineering; Greenhouse gas; Energy performance; Environmental science; Civil engineering; Efficient energy use; Computer science; Engineering; Meteorology; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002090126,0.0002292315,0.0002711265,0.0007500286,0.0001405334,0.00003810508,0.0002002808,0.0001505336,0.00001434037],"category_scores_gemma":[0.000009149,0.0002722172,0.00008657963,0.0002140742,0.0001119555,0.0002156549,0.00006067031,0.0001106993,3.730401e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002779877,"about_ca_system_score_gemma":0.00003286652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006363699,"about_ca_topic_score_gemma":0.0006063257,"domain_scores_codex":[0.9988574,9.451458e-7,0.0002399195,0.0002956374,0.0002636834,0.0003424085],"domain_scores_gemma":[0.9995737,0.00003647862,0.00004604022,0.0001537899,0.00001115638,0.0001788193],"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":[8.941196e-7,9.269223e-7,0.000003539051,0.00002586315,0.00008994412,0.000001796717,0.00003771458,0.9473665,0.002283432,0.04771382,0.00001761675,0.002457932],"study_design_scores_gemma":[0.00007274531,0.00001488312,0.00002187043,0.00006622353,0.0001438031,0.000002509443,0.000008859201,0.9899217,0.001422041,0.001242414,0.006753792,0.0003290886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04292988,0.002258647,0.8171242,0.00005902098,0.002230031,0.0007416641,0.001253407,0.001270998,0.1321322],"genre_scores_gemma":[0.9854002,0.0005280655,0.00894427,0.00001929362,0.0001120819,0.0000264335,0.00008585422,0.0001127091,0.00477107],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9424704,"threshold_uncertainty_score":0.999973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02065325569907666,"score_gpt":0.2025837658801262,"score_spread":0.1819305101810495,"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."}}