{"id":"W4407947745","doi":"10.2139/ssrn.5158083","title":"A Method to Develop Residential Archetypes by Associating Thermophysical Building Attributes with Utility Meter Data","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Metre; Archetype; Architectural engineering; Econometrics; Computer science; Data science; Engineering; Mathematics; Physics; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006540222,0.0007027756,0.0004239975,0.002190192,0.0005144589,0.001031811,0.0008896553,0.0005870893,0.004560177],"category_scores_gemma":[0.002831285,0.0005243589,0.001207918,0.001987472,0.0003935368,0.001015838,0.001179428,0.0009584757,0.002381023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002604063,"about_ca_system_score_gemma":0.0008578819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003980154,"about_ca_topic_score_gemma":0.006443708,"domain_scores_codex":[0.9996148,0.0000620476,0.00002410078,0.0001313247,0.0001359328,0.00003168912],"domain_scores_gemma":[0.9989164,0.0004369362,0.00006578398,0.000281885,0.0002592257,0.000039893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001636627,0.000280544,0.0123108,0.0002981325,0.0002040771,0.0003869355,0.0006552596,0.05714969,0.03914707,0.03470518,0.009480632,0.845218],"study_design_scores_gemma":[0.00003805069,0.00006726356,0.005067481,0.00006163451,0.000105662,0.0006288447,0.0003465791,0.8853586,0.03023862,0.03630561,0.04170504,0.0000766037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003828065,0.00002176451,0.9935337,0.0000213444,0.00001468377,0.00004689304,0.0004810473,0.001452502,0.0005998795],"genre_scores_gemma":[0.0457265,0.00005293983,0.9512092,0.00001619426,0.000009247678,0.0001107427,0.001320109,0.0002352685,0.001319755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004560177,"threshold_uncertainty_score":0.01525527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03119919126487268,"score_gpt":0.2981939293537768,"score_spread":0.2669947380889041,"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."}}