{"id":"W1988999677","doi":"10.1061/(asce)0733-9364(2003)129:6(706.3)","title":"Discussion of “Incorporating Practicability into Genetic Algorithm-Based Time-Cost Optimization” by Bryan Christopher Que","year":2003,"lang":"en","type":"article","venue":"Journal of Construction Engineering and Management","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Genetic algorithm; Operations research; Mathematical optimization; Mathematics; Machine learning","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":[0.01578339,0.0008937917,0.0005877074,0.0007451912,0.003199122,0.004391221,0.004350781,0.01059078,0.006336165],"category_scores_gemma":[0.06071073,0.0005973427,0.001024595,0.001514418,0.007333035,0.006460361,0.002474495,0.01437656,0.001323893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00391678,"about_ca_system_score_gemma":0.006134934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03305658,"about_ca_topic_score_gemma":0.0460686,"domain_scores_codex":[0.9920524,0.004829167,0.000258789,0.0004797386,0.00209219,0.000287722],"domain_scores_gemma":[0.9727683,0.01958282,0.0006239304,0.001219189,0.005419855,0.0003859886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004058081,0.00004886375,0.000390937,0.0002019388,0.00005082212,0.000152727,0.0006907839,0.01910278,0.000527506,0.7650115,0.1773779,0.03640354],"study_design_scores_gemma":[0.00006875984,0.00006364604,0.0005419481,0.0006670897,0.00004865255,0.0001690453,0.0009360845,0.03737699,0.001623574,0.4318578,0.5265414,0.0001050387],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002398063,0.004662727,0.1256463,0.8043876,0.007433605,0.00008716301,0.00004893642,0.0001576958,0.0551778],"genre_scores_gemma":[0.2326346,0.01109755,0.1955533,0.4767399,0.01236794,0.0007917313,0.00007522727,0.0006915569,0.07004827],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03305658,"threshold_uncertainty_score":0.08347154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002920139931930989,"score_gpt":0.2051731482077834,"score_spread":0.2022530082758524,"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."}}