{"id":"W2126053219","doi":"10.5555/1516744.1517164","title":"A framework for simulating industrial construction processes","year":2008,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Fabrication; Process (computing); Computer science; Manufacturing engineering; Product (mathematics); Raw material; Solid modeling; Systems engineering; Process engineering; Engineering drawing; Mechanical engineering; Engineering; Artificial intelligence","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":[0.0000390376,0.0001235423,0.0001248948,0.00006539633,0.0001188507,0.00005014192,0.00007719448,0.0001278692,0.0001244597],"category_scores_gemma":[0.0002843783,0.000127722,0.00002887814,0.0001216573,0.00003280892,0.0002495259,0.00001081954,0.0001169394,0.000006664661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002461407,"about_ca_system_score_gemma":0.00004177021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001483466,"about_ca_topic_score_gemma":0.000001551628,"domain_scores_codex":[0.9993681,0.000007460126,0.0002210836,0.0001551528,0.0001011537,0.0001470973],"domain_scores_gemma":[0.9993796,0.0002246284,0.00005597126,0.0001007539,0.0001989526,0.00004007153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001933153,0.000005590904,0.001050277,0.00008633867,0.00001093234,3.143519e-7,0.0005267494,0.9893855,0.0000102895,0.0006858166,0.00002913621,0.008189711],"study_design_scores_gemma":[0.0003939135,0.00002669495,0.0001971715,0.0001017835,0.000008664902,0.000002680772,0.00004237772,0.9924325,0.002117854,0.002711718,0.001791712,0.0001729346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08273248,0.00002253451,0.915697,0.00002664267,0.0003819281,0.000235781,0.000008138183,0.0003063476,0.0005891997],"genre_scores_gemma":[0.9721079,0.00001033122,0.02747094,0.00002380846,0.0002635298,0.00002794706,0.000023622,0.00002083723,0.00005104819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8893754,"threshold_uncertainty_score":0.5208354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07831933223183153,"score_gpt":0.2795990695730594,"score_spread":0.2012797373412278,"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."}}