{"id":"W2081025098","doi":"10.5539/ass.v5n8p144","title":"Study on Construction Cost of Construction Projects","year":2009,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Evaluation and Optimization Models","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cost engineering; Construction management; Pre-construction services; Control (management); Status quo; Cost control; Quality (philosophy); Investment (military); Construction engineering; Risk analysis (engineering); Value engineering; Cost accounting; Cost estimate; Process (computing); Cost contingency; Quality costs; China; Project management; Engineering management; Business; Engineering; Operations management; Computer science; Project management triangle; Civil engineering; Systems engineering; Economics; Accounting","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001416065,0.0002468812,0.0003065688,0.002220498,0.0004242652,0.001324165,0.0005363615,0.0004283719,0.002163575],"category_scores_gemma":[0.0089618,0.0001746331,0.000465678,0.003662899,0.0004812959,0.001399862,0.0004272164,0.0006027533,0.0001032141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002492001,"about_ca_system_score_gemma":0.001202439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01358732,"about_ca_topic_score_gemma":0.01271837,"domain_scores_codex":[0.9985203,0.0004750064,0.00007831572,0.00009169159,0.0006421683,0.0001924641],"domain_scores_gemma":[0.9943316,0.003869389,0.0005386409,0.0001690434,0.0008990985,0.0001922808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002909585,0.0003557788,0.4269621,0.0005625455,0.0002478046,0.001741896,0.002573982,0.2027302,0.00180191,0.2369611,0.006283617,0.1194881],"study_design_scores_gemma":[0.00002430703,0.0003727337,0.5927914,0.0002812763,0.000165841,0.001125705,0.005449635,0.336291,0.001412598,0.03257482,0.02940146,0.0001090688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9506498,0.002091549,0.01303571,0.0007524132,0.00005232671,0.00006920379,0.0005579112,0.0000142818,0.03277684],"genre_scores_gemma":[0.9959329,0.0006485273,0.001073609,0.00001437886,0.00001650274,0.00002375399,0.0002405446,0.000006903267,0.002042834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01358732,"threshold_uncertainty_score":0.02701646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03425770082043238,"score_gpt":0.3108865229591112,"score_spread":0.2766288221386788,"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."}}