{"id":"W2918609961","doi":"10.1139/cjce-2018-0020","title":"A framework for total productivity measurement of industrial construction projects","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Productivity; Project management; Construction industry; Construction management; Metric (unit); Earned value management; Session (web analytics); Project management triangle; Engineering; Engineering management; Computer science; Operations management; Process management; Systems engineering; Construction engineering; OPM3; Civil engineering; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.02807582,0.002530963,0.001338461,0.02134064,0.002360242,0.008123291,0.003388105,0.002081485,0.003271409],"category_scores_gemma":[0.04260432,0.0009293154,0.002622197,0.0198465,0.004049641,0.008526624,0.005115221,0.002791635,0.001162987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008750681,"about_ca_system_score_gemma":0.01192711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01668965,"about_ca_topic_score_gemma":0.01167145,"domain_scores_codex":[0.9632378,0.01752003,0.005448135,0.003334347,0.009277494,0.001182147],"domain_scores_gemma":[0.9674019,0.01552503,0.004571557,0.00258205,0.009073951,0.0008455413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008209253,0.0004717537,0.0183644,0.002339086,0.000184667,0.0003234837,0.01719525,0.02012678,0.003219177,0.6102404,0.01801819,0.3094348],"study_design_scores_gemma":[0.00009579113,0.0008135129,0.04968783,0.004877169,0.0001896337,0.000981238,0.02034686,0.06623952,0.003297854,0.5168058,0.3362035,0.0004613741],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01241419,0.001888054,0.9559872,0.001539597,0.0001883431,0.002123316,0.002349334,0.0008430576,0.02266693],"genre_scores_gemma":[0.0781596,0.0009757713,0.9127324,0.0001589123,0.00005703111,0.00462022,0.001870802,0.0001310714,0.00129422],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02807582,"threshold_uncertainty_score":0.148481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02229212532759527,"score_gpt":0.1917701409583028,"score_spread":0.1694780156307075,"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."}}