{"id":"W2117624816","doi":"10.1061/(asce)co.1943-7862.0000326","title":"Discussion of “Multiobjective Optimization of Time-Cost Trade-Off Using Harmony Search” by Zong Woo Geem","year":2011,"lang":"en","type":"article","venue":"Journal of Construction Engineering and Management","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Harmony search; Harmony (color); Multi-objective optimization; Mathematical optimization; Computer science; Mathematical economics; Economics; Mathematics; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009318301,0.00011014,0.000282041,0.0004316028,0.00003798549,0.0000221442,0.0001572575,0.00004899866,0.00004636623],"category_scores_gemma":[0.0001364703,0.00007315496,0.00007997973,0.0003209192,0.00007774057,0.0002689598,0.00004396119,0.0001085984,5.331948e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004228836,"about_ca_system_score_gemma":0.00001952507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003938511,"about_ca_topic_score_gemma":5.269487e-8,"domain_scores_codex":[0.998544,0.00004555622,0.0006690708,0.0001328086,0.0004887021,0.0001198434],"domain_scores_gemma":[0.9991794,0.00008278603,0.0003630749,0.0001309533,0.0001628766,0.00008086863],"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":[0.00005416669,0.00004726623,0.0001906813,0.00006152465,0.00009979006,0.000004496853,0.000428686,0.9646952,0.003307519,0.0006214875,0.0002390509,0.03025017],"study_design_scores_gemma":[0.0009053848,0.0001674947,0.002338002,0.0002971219,0.0001307996,0.0001238775,0.0009759635,0.9885845,0.005409622,0.0002701631,0.0006181941,0.0001788424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03445695,0.0001996712,0.9646302,0.00003677712,0.0003276645,0.0001476006,0.000006257707,0.00001121231,0.0001836417],"genre_scores_gemma":[0.7698253,0.0003078223,0.2296941,0.000004263428,0.00003969873,0.000001717133,9.677029e-7,0.00001449631,0.0001115491],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7353684,"threshold_uncertainty_score":0.2983173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04287800904839086,"score_gpt":0.2659047987145206,"score_spread":0.2230267896661297,"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."}}