{"id":"W2805339209","doi":"10.11159/iccste18.137","title":"Design Optimization of Building Structures Using a Metamodeling Method","year":2018,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Civil, Structural and Transportation Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metamodeling; Computer science; Software engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009243886,0.0001465959,0.0001530303,0.00014562,0.00005298597,0.00003581564,0.0001741803,0.00006214582,0.00005990332],"category_scores_gemma":[0.00001757814,0.0001158461,0.00004573804,0.000158358,0.00004962307,0.0002791765,0.000006736228,0.000113597,6.888718e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002698035,"about_ca_system_score_gemma":0.00001339094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001822627,"about_ca_topic_score_gemma":0.000004119704,"domain_scores_codex":[0.9992027,0.000002965621,0.0003229916,0.0001395129,0.0002326627,0.00009916384],"domain_scores_gemma":[0.9993703,0.00002049601,0.0001261461,0.00004199826,0.0004129347,0.00002807274],"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":[0.00002176097,0.000001376361,0.0002151618,0.00005344405,0.0000593464,3.761629e-8,0.0002846185,0.6855381,0.2410766,0.0717001,0.000002141756,0.001047227],"study_design_scores_gemma":[0.0001371876,0.00002009987,0.000903005,0.00009818064,0.0000317372,0.000006068617,0.00008667037,0.8159798,0.1797399,0.002896794,0.000004681919,0.00009588488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.521342,0.00002574919,0.4777797,0.0000302819,0.0004468662,0.0001098339,0.00001689255,0.00005236682,0.0001962903],"genre_scores_gemma":[0.8832374,0.00001570893,0.1166525,0.000006193523,0.00006253647,0.000004332519,0.000003758488,0.00001390452,0.000003656877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3618954,"threshold_uncertainty_score":0.4724067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02711936500148641,"score_gpt":0.2537578899860797,"score_spread":0.2266385249845933,"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."}}