{"id":"W4383876977","doi":"10.24928/2023/0195","title":"Implementation of Lean Thinking to Improve Masonry Construction and Design","year":2023,"lang":"en","type":"article","venue":"Annual Conference of the International Group for Lean Construction","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Masonry; Computer science; Design thinking; Architectural engineering; Construction engineering; Engineering; Manufacturing engineering; Civil engineering; Human–computer interaction","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":[0.006982458,0.0007981106,0.0003300275,0.001781162,0.0009965488,0.004497707,0.00144746,0.0008035799,0.003941],"category_scores_gemma":[0.007640047,0.000347117,0.0006778584,0.00122637,0.002292327,0.002236332,0.002526052,0.001859354,0.0008607809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003029813,"about_ca_system_score_gemma":0.006747294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001597791,"about_ca_topic_score_gemma":0.004977362,"domain_scores_codex":[0.9937497,0.002334592,0.0002628113,0.0003789099,0.002892368,0.0003816218],"domain_scores_gemma":[0.993587,0.002239314,0.0006232645,0.0009030282,0.002304293,0.000342971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009775204,0.0005881079,0.005678137,0.001265299,0.0001364005,0.0004749531,0.01045997,0.03745315,0.01518575,0.475353,0.008547545,0.4447598],"study_design_scores_gemma":[0.0001225655,0.0005884883,0.005857586,0.001644694,0.0001520795,0.0005402665,0.009221844,0.09987914,0.02160567,0.5847217,0.275553,0.000112863],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05008778,0.0006345977,0.8661206,0.004609116,0.0001817376,0.0003447028,0.00006961438,0.0008407495,0.07711106],"genre_scores_gemma":[0.2621688,0.0006622108,0.7271324,0.0005193239,0.00004072717,0.000230885,0.0001361575,0.0001513094,0.008958162],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006982458,"threshold_uncertainty_score":0.03692722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03580295030639538,"score_gpt":0.2767972329443545,"score_spread":0.2409942826379591,"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."}}