{"id":"W4392251305","doi":"10.2139/ssrn.4741566","title":"Developing a Residential Occupancy Schedules Generator Based on Smart Thermostat Data","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Thermostat; Occupancy; Generator (circuit theory); Computer science; Real-time computing; Automotive engineering; Architectural engineering; Electrical engineering; Engineering; Power (physics); Physics","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":[0.0007051689,0.0007092087,0.0007981559,0.001168143,0.0003048623,0.0006078749,0.00136759,0.0006382896,0.00691535],"category_scores_gemma":[0.002937357,0.0004753878,0.0006114772,0.0009554006,0.0001784994,0.0008616528,0.0007497575,0.0007100885,0.003115707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004194509,"about_ca_system_score_gemma":0.0009072151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006502603,"about_ca_topic_score_gemma":0.007350995,"domain_scores_codex":[0.9996932,0.00006028089,0.00001963484,0.0001055244,0.00009637573,0.00002497362],"domain_scores_gemma":[0.9991227,0.000368681,0.00006842491,0.0001326939,0.0002423404,0.00006526151],"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":[0.000586806,0.000358364,0.01286241,0.0002850852,0.0002397886,0.0006243899,0.0002269302,0.3416119,0.0294777,0.004866064,0.01524151,0.593619],"study_design_scores_gemma":[0.0000326047,0.0000243148,0.0008018298,0.000004686723,0.0000123095,0.00003756309,0.00001756907,0.9916605,0.00428396,0.00150588,0.001609911,0.000008743793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02081041,0.00004137251,0.94989,0.0001097693,0.00008596315,0.0002018618,0.0009427301,0.02680768,0.001110155],"genre_scores_gemma":[0.4213794,0.00009444302,0.5700499,0.00009947118,0.00009246127,0.000337258,0.002747136,0.0009495251,0.0042504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00691535,"threshold_uncertainty_score":0.02313417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05171233302705717,"score_gpt":0.3544397986255765,"score_spread":0.3027274655985193,"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."}}