{"id":"W4307358611","doi":"10.1007/s12273-022-0939-3","title":"Modelling occupant behaviour for urban scale simulation: Review of available approaches and tools","year":2022,"lang":"en","type":"article","venue":"Building Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Flexibility (engineering); Workflow; Computer science; Scale (ratio); Bridge (graph theory); Industrial engineering; Data science; Systems engineering; Risk analysis (engineering); Management science; Engineering; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.000307801,0.0001097432,0.000179811,0.00007934008,0.0001765558,0.00002584806,0.00007505227,0.00004140263,0.0000468179],"category_scores_gemma":[0.00001956457,0.0001276621,0.00005313114,0.0001858332,0.00001094011,0.0002608206,0.00003511598,0.0000794866,1.948691e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000543745,"about_ca_system_score_gemma":0.00001178782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004777903,"about_ca_topic_score_gemma":2.010365e-7,"domain_scores_codex":[0.9992251,0.00002331169,0.0002922067,0.000171564,0.0001562698,0.0001314928],"domain_scores_gemma":[0.9995443,0.0001476147,0.00008177343,0.0001521465,0.00004647778,0.00002764771],"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":[0.00001170209,0.00001503925,0.0004508261,0.0006853523,0.00001141693,8.466856e-8,0.00005874823,0.99626,0.00003894954,0.000679907,0.0001125084,0.001675391],"study_design_scores_gemma":[0.0002104043,0.00002694195,0.00002781011,0.0002433127,0.00004749926,7.93954e-7,0.00001402668,0.9967812,0.0002256332,0.0001497874,0.002133934,0.0001386941],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1393176,0.005854509,0.8538541,0.00001572886,0.0001369377,0.0004562401,0.00002560405,0.0001555178,0.0001838297],"genre_scores_gemma":[0.9777148,0.0002046927,0.0217273,0.0000273443,0.00004700907,0.00008511856,0.00008958764,0.00003042794,0.00007369687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8383973,"threshold_uncertainty_score":0.5205908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08521436744356974,"score_gpt":0.2581769534178245,"score_spread":0.1729625859742548,"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."}}