{"id":"W4412754746","doi":"10.11159/iccste25.197","title":"Sustainability, Economy, Efficiency: Parametric Design of Prestressed Slabs for Housing","year":2025,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Civil, Structural and Transportation Engineering","topic":"Structural Analysis and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Parametric statistics; Environmental science; Mathematics","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":[0.00006577517,0.0001210354,0.000163294,0.0001862536,0.00003740269,0.00003733956,0.0001922194,0.00004379644,0.000009003909],"category_scores_gemma":[0.00006482346,0.0000936609,0.0000649782,0.0002559889,0.000032287,0.0001541562,0.000007129914,0.00006782887,2.208198e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004203045,"about_ca_system_score_gemma":0.00002064437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001317405,"about_ca_topic_score_gemma":0.000005198398,"domain_scores_codex":[0.9993634,0.000001271036,0.000293351,0.000134275,0.0001092712,0.00009839955],"domain_scores_gemma":[0.999396,0.00006048369,0.00008908363,0.00004109541,0.0003949039,0.00001838823],"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":[0.00003951642,0.000003722182,0.003972735,0.0004763337,0.00009697743,4.342398e-8,0.0001445004,0.8956224,0.01239939,0.08636674,0.00001551529,0.0008621471],"study_design_scores_gemma":[0.0002847623,0.00002498324,0.02694863,0.0001191182,0.00004949915,2.858809e-7,0.00008530917,0.9260833,0.03717522,0.009109052,0.0000168476,0.0001029443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700286,0.00005338618,0.02872638,0.0002554801,0.0002107219,0.0003352989,0.00002574373,0.00004486463,0.0003195084],"genre_scores_gemma":[0.9982905,0.00002682823,0.001607785,0.000006521216,0.00001387837,0.00001898566,0.000008281158,0.000007595161,0.00001963293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07725769,"threshold_uncertainty_score":0.3819381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172221451270295,"score_gpt":0.224735157517617,"score_spread":0.2130129430049141,"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."}}