{"id":"W2953859525","doi":"10.22260/isarc2019/0007","title":"BIM-based Takt-Time Planning and Takt Control: Requirements for Digital Construction Process Management","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lean construction; Process management; Process (computing); Engineering; Building information modeling; Production planning; Computer science; Manufacturing engineering; Systems engineering; Construction engineering; Operations management; Production (economics); Construction industry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008463113,0.0001250874,0.0001443389,0.000078955,0.0000685,0.00008486622,0.0001256155,0.00005465302,0.00001375389],"category_scores_gemma":[0.00001466933,0.0001004778,0.00005128438,0.0001150749,0.00006585489,0.0003550763,0.00001624041,0.00006882528,0.000005756428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003233038,"about_ca_system_score_gemma":0.000007156009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.497797e-7,"about_ca_topic_score_gemma":5.351586e-8,"domain_scores_codex":[0.9993245,0.000001101332,0.0002060429,0.0001531841,0.0001636388,0.0001515461],"domain_scores_gemma":[0.9996734,0.0000162297,0.00009904093,0.00005726187,0.0001248234,0.00002926505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001352981,0.0001940276,0.3508027,0.01078288,0.001406752,6.140723e-7,0.00191186,0.01145009,0.2669631,0.1905719,0.005156524,0.1594066],"study_design_scores_gemma":[0.01814635,0.0007604908,0.01294875,0.003216505,0.0006911856,0.00008995623,0.009140817,0.5284199,0.3041103,0.1055066,0.01486161,0.002107616],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779792,0.00007723267,0.004727783,0.0001580973,0.0004534986,0.0009807083,0.00004417016,0.000177604,0.01540169],"genre_scores_gemma":[0.9983201,0.000001908927,0.001347938,0.00002980274,0.00004286788,0.00005875915,0.000003966808,0.00001997307,0.0001746553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5169697,"threshold_uncertainty_score":0.4097364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006141495524049034,"score_gpt":0.2037670396461865,"score_spread":0.1976255441221375,"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."}}