{"id":"W3173168440","doi":"10.1016/j.buildenv.2021.108104","title":"Residential thermostat usability: Comparing manual, programmable, and smart devices","year":2021,"lang":"en","type":"article","venue":"Building and Environment","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Carleton University","keywords":"Thermostat; Usability; Setpoint; Computer science; Human–computer interaction; Energy consumption; Engineering; Simulation; Electrical engineering; Artificial intelligence","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":[0.003678262,0.000488844,0.0005849927,0.0006994329,0.0003010205,0.00132088,0.0004342209,0.0005932075,0.002639991],"category_scores_gemma":[0.02312464,0.0002452039,0.0008380113,0.0003891208,0.0005001769,0.001199676,0.0007558729,0.0003923173,0.0004700146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003757838,"about_ca_system_score_gemma":0.000309711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001974578,"about_ca_topic_score_gemma":0.004142239,"domain_scores_codex":[0.9971283,0.001257416,0.0003340546,0.0003132241,0.0007983688,0.0001687633],"domain_scores_gemma":[0.9818271,0.01363175,0.001299341,0.0007192995,0.001901448,0.0006210775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02821392,0.009892767,0.6767518,0.003164695,0.00157106,0.0003715378,0.02774215,0.003262212,0.01590353,0.0005975773,0.005322158,0.2272066],"study_design_scores_gemma":[0.0006133624,0.02014678,0.9439338,0.0002584227,0.0007591787,0.000387991,0.01488878,0.007035787,0.007325961,0.0004841883,0.004006636,0.0001590594],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983972,0.0001128419,0.000403221,0.00001995602,0.00001599321,0.00004785502,0.00008977491,0.00002729606,0.0008860128],"genre_scores_gemma":[0.9976075,0.00008995457,0.001099746,0.00003949862,0.00001236112,0.0000640962,0.000181059,0.0000333032,0.0008724389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003678262,"threshold_uncertainty_score":0.01945275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018894232334987,"score_gpt":0.202418327429229,"score_spread":0.1922293851058791,"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."}}