{"id":"W7011518308","doi":"","title":"Monitoring user behavior : monitoring and analysis of manual control strategies for lighting and blinds","year":2001,"lang":"en","type":"article","venue":"NPARC","topic":"Consumer behavior in food and health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"GLARE; Control (management); Thermal comfort; Smart lighting; Artificial light; Control system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004646876,0.00008269287,0.0002412718,0.0001635257,0.0003880228,0.00009139624,0.00008020576,0.00007696789,0.00002106159],"category_scores_gemma":[0.00003175578,0.00008356808,0.00005848831,0.0002847746,0.0001177587,0.0001895135,0.00001998102,0.00007832063,1.696412e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002779228,"about_ca_system_score_gemma":0.00007394062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008757818,"about_ca_topic_score_gemma":0.0004793829,"domain_scores_codex":[0.999099,0.00004631574,0.0002112097,0.0001814701,0.0001968219,0.0002651816],"domain_scores_gemma":[0.9994249,0.000183745,0.00009016957,0.00008747428,0.0001004619,0.0001131899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001978414,0.00002804205,0.9394157,0.00001137945,0.00006170637,0.00000163633,0.004828829,0.000001272486,0.005332681,0.001262774,0.000002619448,0.0490336],"study_design_scores_gemma":[0.0005209693,0.00006543793,0.9769118,0.00003421154,0.001096987,6.544832e-7,0.01938744,0.0000468501,0.0005633651,0.0003322948,0.0009001202,0.0001398816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979793,0.000285923,0.00009241032,0.0001471663,0.000178905,0.0002248808,0.00001547785,0.00002899216,0.001046872],"genre_scores_gemma":[0.9982891,0.0003498301,0.0009631512,0.000003065962,0.0002032663,0.0000476957,8.575221e-7,0.000006880955,0.0001361216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04889372,"threshold_uncertainty_score":0.3407808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06240479398231499,"score_gpt":0.3969046736838698,"score_spread":0.3344998797015548,"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."}}