{"id":"W3184547451","doi":"10.3390/su13148092","title":"CO2 Emission and Cost Optimization of Concrete-Filled Steel Tubular (CFST) Columns Using Metaheuristic Algorithms","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Polytechnique Montréal","funders":"","keywords":"Dimensioning; Metaheuristic; Structural engineering; Context (archaeology); Computer science; Set (abstract data type); Algorithm; Materials science; Mathematical optimization; Engineering; Mathematics; Geology","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":[0.0002764298,0.0001705406,0.000403868,0.00007531686,0.00009789687,0.00004426792,0.00008340638,0.0001114051,0.0001080036],"category_scores_gemma":[0.001337115,0.0001797573,0.00009046847,0.0004678,0.0001146722,0.000111429,0.00008745081,0.0001513009,2.889574e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005143316,"about_ca_system_score_gemma":0.0001569069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000242856,"about_ca_topic_score_gemma":0.000005310936,"domain_scores_codex":[0.9987459,0.0001237218,0.0003665597,0.0003022112,0.0002081335,0.0002535197],"domain_scores_gemma":[0.9984795,0.0001410703,0.0000658635,0.0003882337,0.0008113217,0.0001139837],"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":[0.00003054737,0.00001300533,0.01314509,0.001146796,0.0002578592,0.00005633497,0.0004559745,0.9350716,0.04799327,0.0001548226,0.00006066544,0.001613996],"study_design_scores_gemma":[0.0004828219,0.00002058465,0.004253073,0.0000276964,0.0002357708,0.00001629138,0.0008713548,0.94272,0.05056056,0.0004042189,0.0001795103,0.0002281019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789061,0.0007305395,0.01960193,0.00005173412,0.0001057326,0.0003177513,0.00002304339,0.0001192503,0.0001439344],"genre_scores_gemma":[0.9895403,0.00003266925,0.0102039,0.000006008617,0.000025997,0.000008234677,0.00003319789,0.00002554432,0.0001241717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01063419,"threshold_uncertainty_score":0.7330292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009533505852262982,"score_gpt":0.2452369206565522,"score_spread":0.2357034148042892,"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."}}