{"id":"W2783491605","doi":"10.1002/ad.2262","title":"Defining Environments: Understanding Architectural Performance through Modelling, Simulation and Visualisation","year":2018,"lang":"en","type":"article","venue":"Architectural Design","topic":"Architecture and Computational Design","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Architecture; Productivity; Computer science; Visualization; Set (abstract data type); Architectural engineering; Energy consumption; Data science; Software engineering; Engineering; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001703431,0.000281163,0.0001834625,0.0001348586,0.0003368511,0.00006386591,0.0001242382,0.00007396858,0.00002635713],"category_scores_gemma":[0.00001530857,0.0002583422,0.00004620259,0.0001761405,0.0001822175,0.000253726,0.0000391361,0.0002153059,0.00004090279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001139728,"about_ca_system_score_gemma":0.00001252581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007543459,"about_ca_topic_score_gemma":0.00000281386,"domain_scores_codex":[0.9986717,0.00009787613,0.0002801902,0.0003055797,0.000268727,0.000375923],"domain_scores_gemma":[0.9993059,0.0003917567,0.00005138378,0.00015709,0.00001418648,0.00007966624],"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":[0.00005784354,0.000004507072,0.00007510545,0.00002222871,0.0000349811,0.000001373791,0.003000645,0.9690763,0.0006181397,0.001405115,0.00001915541,0.02568457],"study_design_scores_gemma":[0.0003021949,0.0002323213,0.0009107591,0.00004510516,0.000021837,0.00004771648,0.00004613409,0.964729,0.002291311,0.03071851,0.000332728,0.0003223446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2325197,0.0001810141,0.7658173,0.0000423137,0.0001179567,0.0002217071,0.000002547117,0.0002132739,0.0008841243],"genre_scores_gemma":[0.9479997,0.00002276692,0.05156345,0.000123954,0.0001768532,0.0000167328,0.00002010011,0.00004961102,0.00002681726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.71548,"threshold_uncertainty_score":0.9999869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05754566405460317,"score_gpt":0.2552084997923345,"score_spread":0.1976628357377313,"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."}}