{"id":"W2108874427","doi":"10.5539/mas.v8n4p16","title":"Significant Factors Causing Time Overrun in Construction Projects of Peninsular Malaysia","year":2014,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Tun Hussein Onn Malaysia","keywords":"Economic shortage; Business; Work (physics); Cash flow; Finance; Operations management; Questionnaire; Cash; Cost overrun; Construction industry; Accounting; Engineering; Construction engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003496972,0.0001663938,0.0003095987,0.001003192,0.0002280892,0.0002212262,0.0006914294,0.00005238784,0.0001693849],"category_scores_gemma":[0.000383241,0.0001275928,0.0000508946,0.002657582,0.0009488274,0.0006137001,0.0002352167,0.0001383694,0.00007573602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007092236,"about_ca_system_score_gemma":0.0001800344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004638817,"about_ca_topic_score_gemma":0.000006772396,"domain_scores_codex":[0.9966134,0.00005600152,0.0006154252,0.0007020137,0.001639616,0.000373531],"domain_scores_gemma":[0.9985997,0.0002036775,0.0003560212,0.0005862944,0.0001697079,0.00008456205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006349787,0.00005818077,0.1076261,0.00001796624,0.000005326991,0.000001543562,0.00286835,0.004295983,0.7780913,0.02106032,0.00007458661,0.08583687],"study_design_scores_gemma":[0.0005660591,0.00005371313,0.05056101,0.00002242715,0.000008388266,0.000007088647,0.0009807827,0.8748459,0.05193986,0.01976546,0.0009090187,0.0003403007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9343062,0.000003284292,0.03763496,0.00004597474,0.0002164944,0.0003201051,0.000002514782,0.00003641508,0.02743407],"genre_scores_gemma":[0.9971233,0.0000014077,0.002573499,0.00002852417,0.00003011519,0.000009050388,0.000001142167,0.00000673932,0.0002262203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8705499,"threshold_uncertainty_score":0.5203084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05274260829467346,"score_gpt":0.3030823215968527,"score_spread":0.2503397133021792,"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."}}