{"id":"W4392628720","doi":"10.26868/25222708.2023.1381","title":"Stochastic-based occupant-centric building archetype modelling using plug loads","year":2023,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Occupancy; Computer science; Context (archaeology); Stochastic modelling; Energy management; Energy consumption; Energy modeling; Energy (signal processing); Greenhouse gas; Simulation; Architectural engineering; Engineering; Business","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003627084,0.0003778198,0.0003176954,0.0007307449,0.0003340965,0.0002749056,0.0003148593,0.0002377934,0.00004170788],"category_scores_gemma":[0.0001019577,0.0004347575,0.0001003518,0.001607001,0.00005002741,0.0005734334,0.00007151929,0.0003270728,0.00001171382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002070092,"about_ca_system_score_gemma":0.00009937918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001820527,"about_ca_topic_score_gemma":5.873356e-7,"domain_scores_codex":[0.9978922,0.00001111906,0.0004865034,0.0004876649,0.00044846,0.0006740668],"domain_scores_gemma":[0.9990342,0.0001565336,0.0001351508,0.0001699356,0.0003447513,0.0001594744],"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":[0.0000239042,0.0000132469,0.0005151245,0.0001014274,0.00002716475,0.000001602894,0.0001905083,0.9868066,0.00558211,0.005560492,0.0000395688,0.00113828],"study_design_scores_gemma":[0.0004598678,0.00001915285,0.00005795198,0.000245859,0.00004478305,0.000002819369,0.00004980985,0.9934254,0.002961145,0.002030239,0.0002110571,0.0004919511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4271611,0.00003136708,0.5710124,0.00002297267,0.0002505023,0.000160634,0.00000398359,0.001258986,0.00009807551],"genre_scores_gemma":[0.9593188,0.00001514544,0.04024687,0.00003684636,0.0001907815,0.00002613577,0.00002747909,0.0001011141,0.00003682665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5321577,"threshold_uncertainty_score":0.9998104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05839859811396705,"score_gpt":0.2795186057388718,"score_spread":0.2211200076249048,"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."}}