{"id":"W2531757054","doi":"10.17159/2309-8775/2016/v58n3a5","title":"Productivity management in the South African civil construction industry - factors affecting construction productivity","year":2016,"lang":"en","type":"article","venue":"Journal of the South African Institution of Civil Engineering","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Atomic Energy (Canada); Canadian Society of Intestinal Research","funders":"","keywords":"Likert scale; Productivity; Construction industry; Engineering; Questionnaire; Marketing; Profit (economics); Construction management; Computer-assisted web interviewing; Operations management; Business; Civil engineering; Economic growth; Economics; Construction engineering; Psychology","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":[0.001254605,0.000299614,0.0002074166,0.00154442,0.002054539,0.002096142,0.0003270482,0.0004598314,0.00396049],"category_scores_gemma":[0.003969413,0.0002135528,0.0002215325,0.002662148,0.0009692457,0.0008426624,0.001223686,0.0004832376,0.000327729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002876848,"about_ca_system_score_gemma":0.003823654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01615422,"about_ca_topic_score_gemma":0.0201195,"domain_scores_codex":[0.9988353,0.0003228996,0.00008692458,0.00006443456,0.0002704504,0.0004201152],"domain_scores_gemma":[0.9974418,0.0007352784,0.0009599788,0.00004171173,0.0003763932,0.0004447605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001863602,0.0003763241,0.7579455,0.001656523,0.00006807532,0.004620841,0.07224171,0.002282078,0.005762065,0.003571484,0.002776259,0.1485128],"study_design_scores_gemma":[0.000004902668,0.0001811121,0.8971613,0.0004165287,0.0000204643,0.0009649362,0.08693358,0.0006467542,0.0006078122,0.0005162308,0.01252198,0.00002438964],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923072,0.001320647,0.000289289,0.001096335,0.00001382763,0.00003819676,0.00006410703,0.000004391457,0.004866121],"genre_scores_gemma":[0.9981938,0.0008770443,0.0002008271,0.00003107443,0.000006080154,0.00001054618,0.00002242835,0.000001441642,0.0006568016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01615422,"threshold_uncertainty_score":0.03212041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03719223915797242,"score_gpt":0.2663171077391516,"score_spread":0.2291248685811792,"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."}}