{"id":"W7114766204","doi":"10.5267/j.jpm.2025.12.001","title":"Delay causes of the site-clearance process for public infrastructure projects in Vietnam: Differences across roles and project sizes","year":2025,"lang":"en","type":"article","venue":"Journal of Project Management","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Viet Nam National University Ho Chi Minh City; Ho Chi Minh City University of Technology and Education","keywords":"Staffing; Project management; Stakeholder; Process (computing); Scale (ratio); Public infrastructure; Prioritization; Project stakeholder; Variance (accounting); Integrated project delivery","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":[0.002989934,0.0002639358,0.0005936722,0.001208323,0.0002814421,0.0004268131,0.001118212,0.00009002672,0.00001507814],"category_scores_gemma":[0.0008464398,0.0001512972,0.0002011486,0.002938753,0.0002840866,0.0008701239,0.0004875622,0.0002947065,6.939009e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006945934,"about_ca_system_score_gemma":0.0003403183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002446701,"about_ca_topic_score_gemma":0.0004828828,"domain_scores_codex":[0.9964189,0.0002157388,0.00139964,0.0004284624,0.001132115,0.0004051531],"domain_scores_gemma":[0.9973001,0.0003496195,0.001267083,0.0004315016,0.0006188395,0.000032805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008566635,0.0002103137,0.8059173,0.001185324,0.0003106089,0.00001038278,0.008842616,0.000251323,0.00009260005,0.004085513,0.00585032,0.172387],"study_design_scores_gemma":[0.005635688,0.0006455125,0.8436596,0.001378379,0.0002235574,0.00006390774,0.05518558,0.00510562,0.0008168769,0.01632894,0.07034361,0.0006127611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928409,0.0005999967,0.0009298368,0.00113587,0.0006473358,0.001991529,0.00001976399,0.00001443146,0.001820336],"genre_scores_gemma":[0.9968182,0.0004299601,0.0008522693,0.0001608574,0.00006022508,0.00009676749,6.68926e-7,0.00001055703,0.001570498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1717742,"threshold_uncertainty_score":0.616972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06699597420507739,"score_gpt":0.3846937658486076,"score_spread":0.3176977916435302,"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."}}