{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006289259,0.0001100049,0.0001414735,0.0002655092,0.0001369182,0.000105755,0.0002914963,0.00004052788,0.00008082135],"category_scores_gemma":[0.0001182304,0.00009740523,0.00007213567,0.0002518064,0.0001399242,0.0007115173,0.0002393116,0.00006241228,0.000007057159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002789117,"about_ca_system_score_gemma":0.00002320142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005684096,"about_ca_topic_score_gemma":0.0001659695,"domain_scores_codex":[0.9989532,0.00001105316,0.0003601108,0.0002142525,0.0003236852,0.0001377195],"domain_scores_gemma":[0.9989983,0.00007313954,0.0003446875,0.000128783,0.0004454401,0.000009624194],"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":[0.000161086,0.00001878208,0.01661787,0.0001800219,0.0001106781,3.190582e-7,0.000649084,0.0002506791,0.006194389,0.8409114,0.001817505,0.1330881],"study_design_scores_gemma":[0.004321186,0.0003575484,0.06973007,0.0004811228,0.0003612675,0.00002039521,0.1079286,0.02089851,0.02867021,0.72492,0.04138862,0.0009224719],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.911761,0.000003494215,0.08105431,0.003616459,0.001878104,0.000834024,0.00007946839,0.00006682787,0.0007063438],"genre_scores_gemma":[0.9946845,0.00000639869,0.004578981,0.0002836643,0.0002472378,0.00003780842,0.0000506246,0.00001066226,0.0001001922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1321657,"threshold_uncertainty_score":0.397207,"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."}}