{"id":"W2892260798","doi":"10.1108/ecam-04-2017-0068","title":"Quality cost of material procurement in construction projects","year":2018,"lang":"en","type":"article","venue":"Engineering Construction & Architectural Management","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Procurement; Quality assurance; Quality (philosophy); Cost reduction; Process (computing); Operations management; Computer science; Business; Risk analysis (engineering); Process management; Engineering; Marketing","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":[0.00425353,0.0004379771,0.0004191076,0.001451264,0.0006765269,0.002979832,0.0009053266,0.0008093736,0.003133422],"category_scores_gemma":[0.01422761,0.0005944867,0.0007545059,0.001690342,0.001126669,0.001732434,0.0009938708,0.001114709,0.000279072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007281829,"about_ca_system_score_gemma":0.003581776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01584655,"about_ca_topic_score_gemma":0.0118247,"domain_scores_codex":[0.9954432,0.002081155,0.0001876962,0.0002106212,0.001528455,0.0005488514],"domain_scores_gemma":[0.9870332,0.008940876,0.00177985,0.0004556184,0.001441723,0.0003485763],"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":[0.0003037696,0.0001924645,0.04223927,0.0002538894,0.00007099494,0.0003620985,0.0002908631,0.8750052,0.001306492,0.02594044,0.0008341648,0.05320036],"study_design_scores_gemma":[0.00004182754,0.0008885306,0.0767535,0.0001811528,0.0001140376,0.0003590594,0.001603975,0.8965665,0.002837994,0.01673047,0.003794048,0.0001289142],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8907455,0.001624449,0.07749336,0.0009749794,0.00007086986,0.0004675995,0.0003922764,0.000098353,0.02813269],"genre_scores_gemma":[0.9952374,0.0001984664,0.003138315,0.00001157032,0.00000466329,0.00004967426,0.00006338123,0.00001197409,0.00128463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01584655,"threshold_uncertainty_score":0.05283356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05916172171760306,"score_gpt":0.3398656009049161,"score_spread":0.280703879187313,"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."}}