{"id":"W2592666706","doi":"","title":"ArchiGen: a conceptual form design tool using an evolutionary computing approach","year":2016,"lang":"en","type":"article","venue":"Computer Science and Software Engineering","topic":"Design Education and Practice","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Conceptual design; Software engineering; Generative Design; Leverage (statistics); Conceptualization; Systems engineering; Software; Software design; Documentation; Object-oriented design; Design process; Computer Aided Design; Human–computer interaction; Artificial intelligence; Software development; Programming language; Engineering; Work in process","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007375238,0.0001609003,0.0001290965,0.0001834062,0.0002069825,0.0001271788,0.0002729743,0.00004289299,0.000005817627],"category_scores_gemma":[0.0001597666,0.0001348713,0.00002029536,0.000374275,0.0001580117,0.001249598,0.00007734844,0.0001060091,0.000006016601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001298278,"about_ca_system_score_gemma":0.0001217315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002307951,"about_ca_topic_score_gemma":4.160022e-8,"domain_scores_codex":[0.9988616,0.00002460107,0.0001746646,0.0002948122,0.0002634091,0.0003809433],"domain_scores_gemma":[0.999192,0.0002976007,0.00002412359,0.0002174295,0.00009819905,0.0001706685],"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":[0.000005632525,0.00005587879,0.0006753893,0.0000646545,0.00002432994,0.000006639448,0.003999447,0.742899,0.01437751,0.001691613,0.0002833981,0.2359165],"study_design_scores_gemma":[0.0001511266,0.00003396271,0.002402707,0.00004228152,0.000005295445,0.00009497831,0.00004335525,0.9956262,0.0004951796,0.00004505631,0.0008043077,0.0002555793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1196469,0.0001332596,0.8790471,0.000009615299,0.0005783529,0.0001187853,0.00000148517,0.0004468156,0.00001765731],"genre_scores_gemma":[0.521594,0.000006904909,0.4781701,0.00003416841,0.0001721919,0.000003181576,6.916635e-7,0.00001457087,0.000004173318],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4019471,"threshold_uncertainty_score":0.549989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0412972040141733,"score_gpt":0.2431963739241208,"score_spread":0.2018991699099475,"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."}}