{"id":"W3204282950","doi":"10.3390/su131910981","title":"CO2 Emission Optimization of Concrete-Filled Steel Tubular Rectangular Stub Columns Using Metaheuristic Algorithms","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"National Research Foundation of Korea; National Research Foundation","keywords":"Harmony search; Metaheuristic; Stub (electronics); Structural engineering; Algorithm; Mathematical optimization; Tabu search; Engineering; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004130013,0.0002211731,0.0005261815,0.0001061838,0.0001117898,0.00004275764,0.000153371,0.0001499418,0.0002290315],"category_scores_gemma":[0.002117172,0.0002360226,0.0001903713,0.0008232539,0.00009863434,0.0001264062,0.00009601368,0.0002056393,7.624394e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009322804,"about_ca_system_score_gemma":0.0002486094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000248674,"about_ca_topic_score_gemma":0.000004736215,"domain_scores_codex":[0.9982161,0.0002153839,0.000510685,0.0003802184,0.0003375653,0.0003400676],"domain_scores_gemma":[0.99776,0.0001483179,0.0000921104,0.000634919,0.001243755,0.0001209151],"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":[0.00002641255,0.00001538913,0.004139062,0.0007880917,0.0003101195,0.00007620025,0.0004206969,0.9216816,0.07172447,0.0001290312,0.00006095259,0.0006279484],"study_design_scores_gemma":[0.0004617072,0.00003227278,0.001828554,0.00003722422,0.0003384095,0.00001499034,0.001193245,0.8372617,0.1576023,0.0007510113,0.0001687196,0.0003098726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671777,0.0009348016,0.03089701,0.00005194731,0.0001971547,0.0003165879,0.0000223446,0.0002115877,0.0001908432],"genre_scores_gemma":[0.9786738,0.00002254326,0.02097344,0.00000630082,0.00004513517,0.000009401067,0.00004659128,0.00003971954,0.0001830322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0858778,"threshold_uncertainty_score":0.9624724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008959193267253387,"score_gpt":0.2443068025512675,"score_spread":0.2353476092840142,"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."}}