{"id":"W2112215065","doi":"10.1139/l08-072","title":"Impacts of automation technology on quality of project deliverables in the Taiwanese construction industry","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Council","keywords":"Deliverable; Automation; Quality (philosophy); Process management; Computer science; Systems engineering; Procurement; Project management; Correctness; Risk analysis (engineering); Operations management; Engineering management; Engineering; Business","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":[0.0002694975,0.00007923372,0.0001644947,0.0007607032,0.0000157375,0.00001050956,0.0001088822,0.0001627215,0.00001652606],"category_scores_gemma":[0.0001273052,0.00006652818,0.00004105342,0.0004701054,0.00003269208,0.0001338923,8.723933e-7,0.0003895643,1.948339e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001149644,"about_ca_system_score_gemma":0.0001989924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004755889,"about_ca_topic_score_gemma":0.01419397,"domain_scores_codex":[0.9993045,0.00002003056,0.0004079867,0.00003876769,0.0001079098,0.000120765],"domain_scores_gemma":[0.9996079,0.00002890792,0.0001227923,0.00008944934,0.0001033924,0.00004762596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00004221808,0.00003935488,0.03876706,0.0003746587,0.0001280981,0.00004233604,0.003534826,0.7758299,0.05300393,0.06108032,0.0007788636,0.06637847],"study_design_scores_gemma":[0.004795834,0.001960608,0.7369382,0.004842799,0.0001563127,0.003292274,0.01595863,0.1178535,0.09860377,0.01053329,0.003577188,0.001487581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963135,0.0003074863,0.002026705,0.0001472075,0.0002418018,0.00007127858,0.000006316989,0.00001662031,0.0008690974],"genre_scores_gemma":[0.9996077,0.00001489234,0.000323568,0.000008849574,0.00003718652,0.000001049897,8.421013e-7,0.000005079849,7.97457e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6981712,"threshold_uncertainty_score":0.7920567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01091080669022073,"score_gpt":0.22533980027148,"score_spread":0.2144289935812593,"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."}}