{"id":"W4413123066","doi":"10.1016/j.adapen.2025.100236","title":"A critical review of use cases and insights from a large dataset of smart thermostats","year":2025,"lang":"en","type":"article","venue":"Advances in Applied Energy","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Building Technologies Office; Office of Energy Efficiency and Renewable Energy; U.S. Department of Energy","keywords":"Thermostat; Data science; Computer science; Engineering; Mechanical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00002769408,0.00007469895,0.0001833629,0.0000513322,0.00001139228,0.000003481708,0.00006274942,0.00003626666,0.00001118057],"category_scores_gemma":[0.0000511123,0.00006996873,0.00001114656,0.0001704027,0.00003755546,0.0001175359,0.00003333473,0.00003950798,5.861927e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000774253,"about_ca_system_score_gemma":0.000006903829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005262182,"about_ca_topic_score_gemma":0.0002018458,"domain_scores_codex":[0.9995425,0.00001112913,0.0002135348,0.0001039457,0.00005235865,0.00007646937],"domain_scores_gemma":[0.9994792,0.0003124874,0.00002271121,0.0001585755,0.00001204994,0.00001502435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007140051,0.0001135214,0.0004193906,0.002941387,0.00005415361,0.00001222771,0.00006657116,0.1075897,0.001628615,0.8461064,0.001154824,0.0398419],"study_design_scores_gemma":[0.00185456,0.00008593321,0.0007651741,0.01185641,0.0001694764,0.000005816282,0.0001333929,0.07728516,0.05984408,0.04227642,0.804926,0.0007975891],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1201065,0.7222446,0.1417636,0.00007875562,0.0007102436,0.0003344181,0.002272479,0.0002332688,0.01225614],"genre_scores_gemma":[0.9288169,0.06713723,0.003452284,0.0002265719,0.000004705024,0.00002410169,0.0003268644,0.000007585917,0.000003823307],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8087103,"threshold_uncertainty_score":0.2853242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009335834607822655,"score_gpt":0.2552642049941864,"score_spread":0.2459283703863638,"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."}}