{"id":"W4405677804","doi":"10.1007/978-981-97-8317-5_13","title":"Datamining Smart Thermostat Use in Homes to Understand COVID-19 and Telework-Induced Behaviors","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; Carleton University","funders":"","keywords":"Thermostat; Coronavirus disease 2019 (COVID-19); Computer science; Computer security; Engineering; Medicine; Electrical 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001370465,0.0004805842,0.000402589,0.000744836,0.00002975604,0.0001242457,0.0001582913,0.0005123973,0.00004601961],"category_scores_gemma":[0.0001036161,0.0005277693,0.00004943918,0.0002258921,0.00001556299,0.0001393879,0.00009910905,0.000871287,0.000002231926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004658437,"about_ca_system_score_gemma":0.00003802743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006711621,"about_ca_topic_score_gemma":0.004082116,"domain_scores_codex":[0.9987011,0.000005514917,0.0003257731,0.0004434329,0.0001712062,0.0003529689],"domain_scores_gemma":[0.9991934,0.0002997782,0.00002532048,0.0003153821,0.000009997725,0.0001561039],"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":[0.000006540082,0.000002920936,0.0001226099,0.0002788505,0.00003909262,0.0001075859,0.0006294401,0.9945927,0.0003485692,0.002065687,0.00003091065,0.001775065],"study_design_scores_gemma":[0.001573783,0.0002086374,0.0005779871,0.007196493,0.0002969325,0.0001623341,0.00007107778,0.9374029,0.001286349,0.01034789,0.03591684,0.004958744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07224554,0.008904244,0.9029413,0.0003631175,0.003233023,0.001283765,0.0001719758,0.00246235,0.008394646],"genre_scores_gemma":[0.9956165,0.0004474438,0.002556279,0.0001535636,0.0001128633,0.00002502384,0.000101591,0.0002904527,0.0006963052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.923371,"threshold_uncertainty_score":0.9997174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02358551949090273,"score_gpt":0.2303285689694168,"score_spread":0.206743049478514,"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."}}