{"id":"W2984327910","doi":"10.1145/3360322.3360997","title":"Generative Interior Design using BIM","year":2019,"lang":"en","type":"article","venue":"","topic":"Architecture, Design, and Social History","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Generative grammar; Generative Design; Artificial intelligence; Engineering","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":[0.00236363,0.001196594,0.001169123,0.002022893,0.001004572,0.002355641,0.001999415,0.001444655,0.01003812],"category_scores_gemma":[0.004075069,0.001285041,0.002605267,0.001276304,0.002373265,0.00165305,0.003117339,0.001378584,0.001376839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001133699,"about_ca_system_score_gemma":0.001223403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002215758,"about_ca_topic_score_gemma":0.003813744,"domain_scores_codex":[0.9984034,0.0006175985,0.00006983145,0.0002570211,0.00057319,0.00007891747],"domain_scores_gemma":[0.9978369,0.001337191,0.0001019347,0.0004816403,0.0001891103,0.0000532539],"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":[0.00004934797,0.00006716773,0.0007877083,0.0003769526,0.00006944667,0.0001798853,0.0004616258,0.7524834,0.004024919,0.1380539,0.001710498,0.1017352],"study_design_scores_gemma":[0.00002917412,0.00004213343,0.0001212656,0.00006621487,0.00002160499,0.0001280049,0.00008013268,0.9198279,0.002317844,0.06372719,0.01361782,0.00002078488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002540045,0.0000630282,0.9933884,0.00004696355,0.00001085268,0.00005349808,0.00004246625,0.0003967619,0.003457911],"genre_scores_gemma":[0.08010155,0.0001347102,0.9172609,0.00003973275,0.000007925095,0.0002162849,0.0001874631,0.0002299988,0.001821402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01003812,"threshold_uncertainty_score":0.03358084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08183695891801844,"score_gpt":0.2439094494219761,"score_spread":0.1620724905039577,"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."}}