{"id":"W2083365345","doi":"10.1007/s00158-004-0470-4","title":"Design optimization of simply supported concrete slabs by finite element modelling","year":2005,"lang":"en","type":"article","venue":"Structural and Multidisciplinary Optimization","topic":"BIM and Construction Integration","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Finite element method; Parametric statistics; Chart; Reliability (semiconductor); Structural engineering; Displacement (psychology); Process (computing); Engineering design process; Computer science; Set (abstract data type); Engineering; Mechanical engineering; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007114974,0.0008461089,0.001405192,0.0008311982,0.0004790031,0.00107577,0.001092807,0.001492333,0.003151703],"category_scores_gemma":[0.001676756,0.001201213,0.0007330676,0.0007228626,0.0008678024,0.0007665415,0.001020884,0.0006346143,0.0005334503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007024271,"about_ca_system_score_gemma":0.00122197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004162926,"about_ca_topic_score_gemma":0.006476992,"domain_scores_codex":[0.9995477,0.0001569731,0.00001612103,0.00003887944,0.0001841562,0.0000561755],"domain_scores_gemma":[0.9995533,0.0002524285,0.00004563061,0.00003880016,0.00008301061,0.00002677532],"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":[0.00002102585,0.00001952044,0.00009719667,0.00002579597,0.000009113493,0.00001617896,0.00001633113,0.9927899,0.001920981,0.001723419,0.0001046802,0.003255774],"study_design_scores_gemma":[0.000004712598,0.000009391974,0.00004454335,0.000002323125,0.000002754368,0.000004432593,0.000007167895,0.998744,0.0004027151,0.0005867598,0.0001891635,0.000002246376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1334785,0.0003623336,0.8509021,0.0001883841,0.0000423706,0.00009481802,0.0001571328,0.0003580655,0.01441628],"genre_scores_gemma":[0.788735,0.0003458864,0.2002996,0.00005630773,0.00001937335,0.0002792013,0.0002574711,0.0002762526,0.0097309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004162926,"threshold_uncertainty_score":0.01054353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206952291193664,"score_gpt":0.2207918420248529,"score_spread":0.2087223191129162,"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."}}