{"id":"W4284899645","doi":"10.36680/j.itcon.2022.031","title":"An earned-value-analysis (EVA)-based project control framework in large-scale scaffolding projects using linear regression modeling","year":2022,"lang":"en","type":"article","venue":"Journal of Information Technology in Construction","topic":"BIM and Construction Integration","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Earned value management; Schedule; Productivity; Computer science; Project management; Scale (ratio); Scaffold; Engineering; Industrial engineering; Systems engineering; Operations research; Project planning; OPM3","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008938323,0.0001633463,0.0003758025,0.005367152,0.0001842656,0.00004808509,0.0002086871,0.0002943433,0.00003409493],"category_scores_gemma":[0.00009951542,0.0001622743,0.0001223912,0.002815953,0.00005273469,0.001396393,0.00002116924,0.001054836,8.39601e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005799502,"about_ca_system_score_gemma":0.0001954036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000244335,"about_ca_topic_score_gemma":0.00001657731,"domain_scores_codex":[0.9980527,0.000116205,0.001131466,0.0001097723,0.000354456,0.0002354209],"domain_scores_gemma":[0.9990004,0.00003292855,0.000528647,0.0001982999,0.0002077021,0.00003197082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008614712,0.00002840871,0.02382735,0.00002018341,0.00006071709,0.000002942237,0.0005590872,0.9607036,0.0009242632,0.001812572,0.000003111045,0.01197164],"study_design_scores_gemma":[0.001096018,0.00009923409,0.0001637706,0.00009906242,0.0000919846,0.0001999819,0.009474494,0.9849226,0.001892088,0.001763798,0.00004632873,0.0001506812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5436639,0.00005233456,0.455553,0.00008629052,0.0003658981,0.0001576467,0.00000796631,0.00008625576,0.00002666827],"genre_scores_gemma":[0.9299853,0.00001832939,0.0698673,0.00004169276,0.00004188777,0.00002135691,0.00001301407,0.00001078738,2.936758e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3863214,"threshold_uncertainty_score":0.6617352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029885393373263,"score_gpt":0.2622751645378014,"score_spread":0.2519763106040688,"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."}}