{"id":"W4317792307","doi":"10.1109/wsc57314.2022.10015457","title":"Using Simulation-Based Forecasting to Project Singapore's Future Residential Construction Demand and Impacts on Sustainability","year":2022,"lang":"en","type":"article","venue":"2022 Winter Simulation Conference (WSC)","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Sustainability; Environmental economics; Plan (archaeology); Sustainable development; Demand forecasting; Business; Environmental planning; Environmental resource management; Economics; Marketing; Political science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006737576,0.00047161,0.0003272765,0.0006072839,0.0002747044,0.0008498026,0.0003843894,0.000585533,0.001924205],"category_scores_gemma":[0.00217879,0.0002592334,0.0004750938,0.0009912206,0.0001648567,0.0009129125,0.0003826832,0.0005407685,0.0002277803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101919,"about_ca_system_score_gemma":0.001269239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0533573,"about_ca_topic_score_gemma":0.05354692,"domain_scores_codex":[0.999833,0.00007347205,0.00001426678,0.00002297447,0.0000323623,0.00002382742],"domain_scores_gemma":[0.9992005,0.0004590278,0.00007879879,0.00006222261,0.0001459969,0.00005338733],"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":[0.00005345986,0.00005732179,0.01890467,0.00002437401,0.00003633154,0.00004262313,0.00007770505,0.9720092,0.000446346,0.001144998,0.000520707,0.006682234],"study_design_scores_gemma":[0.000003590018,0.00001942495,0.001629993,0.000003482134,0.000006104764,0.000002565883,0.000055427,0.997654,0.0001496428,0.0002529704,0.0002171753,0.000005643874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637992,0.00008683184,0.02333662,0.0005657853,0.00004625964,0.00006162575,0.001276229,0.0002780517,0.01054924],"genre_scores_gemma":[0.9931351,0.00009610026,0.005378005,0.0000158839,0.00000538023,0.00002906343,0.0006771177,0.00001567637,0.0006477582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0533573,"threshold_uncertainty_score":0.1060935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04389281369164527,"score_gpt":0.3153320813396867,"score_spread":0.2714392676480414,"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."}}