{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005665592,0.000357619,0.0005483875,0.0001346429,0.0004199262,0.0003687146,0.001197162,0.0002279915,0.00004887626],"category_scores_gemma":[0.0004577187,0.0002541399,0.00009917189,0.0004121794,0.00003631592,0.0001636234,0.0003282815,0.004168832,0.00001375826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001341977,"about_ca_system_score_gemma":0.004690964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006303447,"about_ca_topic_score_gemma":0.01437953,"domain_scores_codex":[0.9952847,0.0008036766,0.0004458711,0.0007790543,0.0006073859,0.002079299],"domain_scores_gemma":[0.9981292,0.0005706986,0.0003229901,0.0005820871,0.0002153406,0.0001797081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005090585,0.00005567842,0.04220248,0.00006516977,0.001805865,0.00002544292,0.0004841339,0.002855818,0.0001980083,0.0003178456,0.003383504,0.948097],"study_design_scores_gemma":[0.004644335,0.002353589,0.3005227,0.003105852,0.003333878,0.001508548,0.003559331,0.237937,0.002671455,0.3892225,0.04467537,0.00646548],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5056305,0.003598144,0.483661,0.003139727,0.0005960285,0.0004754987,0.0009859834,0.0001220805,0.001791076],"genre_scores_gemma":[0.9124004,0.0007788729,0.08348224,0.0003025307,0.0008722817,5.099434e-7,0.0008883987,0.00001849771,0.001256324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9416315,"threshold_uncertainty_score":0.9999911,"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."}}