{"id":"W3148011496","doi":"10.1108/ci-03-2020-0039","title":"Exploiting digitalization for the coordination of required changes to improve engineer-to-order materials flow management","year":2021,"lang":"en","type":"article","venue":"Construction Innovation","topic":"BIM and Construction Integration","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Workflow; Process (computing); Computer science; Process management; Systems engineering; Dissemination; Materials management; Engineering management; Engineering; Operations management; Database","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":[0.0001801693,0.0001280261,0.0001346478,0.0003250553,0.0001012736,0.00009086363,0.00006667389,0.00007149525,0.0000532695],"category_scores_gemma":[0.0001494749,0.0001239967,0.00002178767,0.001619343,0.00002374499,0.0002311451,0.0000216911,0.00003955529,0.000006193144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008567169,"about_ca_system_score_gemma":0.00001965026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002416531,"about_ca_topic_score_gemma":0.000007483497,"domain_scores_codex":[0.999074,0.00001363235,0.0004321811,0.0001851823,0.00015656,0.0001384144],"domain_scores_gemma":[0.9986289,0.00003986697,0.00009912161,0.0001887386,0.001021373,0.0000220181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002001936,0.000007608188,0.00003196474,0.0001640062,0.00007177675,1.855934e-7,0.000201316,0.01252115,0.4039988,0.1501863,0.0006731389,0.4321238],"study_design_scores_gemma":[0.0005615579,0.00005225209,0.0004359444,0.0001149874,0.00005112718,0.00001666802,0.001758282,0.02376266,0.9597241,0.002531664,0.01072856,0.0002621808],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0731599,0.00002433407,0.9210485,0.001040787,0.003133433,0.000696529,0.00007171741,0.000171297,0.0006535123],"genre_scores_gemma":[0.9089624,0.00001985797,0.08903002,0.0002142531,0.0003874724,0.0007037903,0.0003441562,0.00004025759,0.0002978478],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8358024,"threshold_uncertainty_score":0.5056437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01355102508524884,"score_gpt":0.2246535651735792,"score_spread":0.2111025400883304,"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."}}