{"id":"W6987563628","doi":"","title":"Thermostat control strategies for thermal comfort and energy-efficient operation","year":2024,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thermostat; Thermal comfort; ASHRAE 90.1; Operative temperature; Mean radiant temperature; Thermal; Radiant cooling; Temperature control; Work (physics); Energy (signal processing); Window (computing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002884389,0.0007638766,0.0003586539,0.00028758,0.000367283,0.0007520223,0.0007293004,0.0003160691,0.005039268],"category_scores_gemma":[0.0004829457,0.0002052905,0.0003637525,0.0002036175,0.0003618275,0.0006293056,0.0004251634,0.0004976955,0.000728905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004480102,"about_ca_system_score_gemma":0.0005225958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003071708,"about_ca_topic_score_gemma":0.003258865,"domain_scores_codex":[0.9998218,0.00003029567,0.00000988746,0.00003954015,0.00007362702,0.00002485437],"domain_scores_gemma":[0.9998505,0.00004157313,0.00003866438,0.00001576706,0.00004544316,0.000008104408],"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":[0.0002103225,0.0003100829,0.001542035,0.0003617187,0.00005674514,0.0001419261,0.0003768916,0.7645308,0.07260351,0.03014505,0.00376917,0.1259517],"study_design_scores_gemma":[0.00004529677,0.0002515149,0.0008792013,0.00003358285,0.00002970835,0.00005547536,0.00006881861,0.9673712,0.01828986,0.003667433,0.009286549,0.0000214777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06443886,0.0007859559,0.8983389,0.000198709,0.0001625103,0.0002733675,0.00008982128,0.00222371,0.03348817],"genre_scores_gemma":[0.9430585,0.0003826999,0.04662028,0.00008887434,0.00003466463,0.0001952469,0.00006265011,0.00008269121,0.009474454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005039268,"threshold_uncertainty_score":0.01685804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186482571914677,"score_gpt":0.2375042103090255,"score_spread":0.2256393845898788,"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."}}