{"id":"W4245401935","doi":"10.26868/25222708.2019.210195","title":"Simulating the Impact of Occupants on Office Building Design Process: A Case Study","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Resources Canada; National Research Council Canada","keywords":"Process (computing); Architectural engineering; Computer science; Design process; Engineering; Work in process; Operations management","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001880047,0.00069261,0.0005448447,0.0003536462,0.000641501,0.00083079,0.001228573,0.001323598,0.001536409],"category_scores_gemma":[0.003672397,0.0004674942,0.0008084456,0.0005352974,0.0006521903,0.0005751341,0.0006014566,0.0007565547,0.0001389713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481303,"about_ca_system_score_gemma":0.0009653972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01350363,"about_ca_topic_score_gemma":0.01809163,"domain_scores_codex":[0.9986768,0.0008426399,0.00004437589,0.00009683643,0.0001879414,0.0001512463],"domain_scores_gemma":[0.9947684,0.004332182,0.0002226247,0.0003521033,0.0002006079,0.0001241156],"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":[0.0006054532,0.0004624635,0.01459377,0.00007433826,0.0000508091,0.0005375792,0.0003960299,0.9719368,0.003168957,0.0009071475,0.0001252998,0.007141276],"study_design_scores_gemma":[0.0001961319,0.001122878,0.008177474,0.00001933092,0.00009357199,0.0001612283,0.0007834228,0.9780411,0.009630109,0.0008002431,0.0009240871,0.00005055384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958811,0.00002804038,0.00317717,0.00002219415,0.000002701944,0.00003925067,0.00006586037,0.00001802378,0.0007656557],"genre_scores_gemma":[0.9951285,0.00003364035,0.004434563,0.00000540974,0.000001410201,0.00002940531,0.00005123234,0.000005910969,0.0003098818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01350363,"threshold_uncertainty_score":0.0268501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06880758557566823,"score_gpt":0.3283733533369516,"score_spread":0.2595657677612833,"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."}}