{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002986355,0.001219533,0.0006044374,0.002848044,0.001056635,0.008712648,0.001363997,0.001802623,0.003591257],"category_scores_gemma":[0.007913534,0.0008637736,0.0007344283,0.002503583,0.004265716,0.009522441,0.003194959,0.001654769,0.0009793764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002125107,"about_ca_system_score_gemma":0.001446608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01188718,"about_ca_topic_score_gemma":0.009569893,"domain_scores_codex":[0.9980078,0.001073029,0.0001074347,0.0001535215,0.0005063188,0.0001518485],"domain_scores_gemma":[0.9969692,0.001892176,0.0002283596,0.0004592719,0.0003115274,0.0001395992],"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":[0.00007617915,0.00007977311,0.007809334,0.000449947,0.00009996653,0.000237736,0.01115196,0.5187235,0.004805929,0.3475279,0.006047624,0.1029903],"study_design_scores_gemma":[0.00003302544,0.00007069658,0.004300439,0.0005108936,0.00005182918,0.0002487193,0.006792971,0.5581846,0.005323575,0.3157392,0.1085762,0.0001679685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08087657,0.002621321,0.8632154,0.003586289,0.0001269473,0.000115862,0.0005531378,0.002110284,0.04679414],"genre_scores_gemma":[0.6646507,0.003278455,0.3262613,0.0001543331,0.00005071743,0.0001737797,0.0005304727,0.0008395984,0.004060565],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01188718,"threshold_uncertainty_score":0.02363592,"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."}}