{"id":"W3129503847","doi":"10.1016/j.autcon.2021.103616","title":"Hybrid multi-mode simulation and optimization for subarea scheduling in heavy industrial construction","year":2021,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Resource-Constrained Project Scheduling","field":"Decision Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"PCL Construction (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bidding; Scheduling (production processes); Interdependence; Schedule; Computer science; Industrial engineering; Operations research; Engineering; Operations management","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002646758,0.0002268099,0.0004073994,0.001062541,0.0002213493,0.0004388861,0.0001472006,0.0002771181,0.0001104516],"category_scores_gemma":[0.01031963,0.0002476134,0.00008419408,0.001310579,0.0002089407,0.001245053,0.00005933974,0.0003021554,0.000006737624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002363115,"about_ca_system_score_gemma":0.0003468539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005957574,"about_ca_topic_score_gemma":0.00009707503,"domain_scores_codex":[0.9962145,0.00060142,0.001442299,0.0007887938,0.0006345913,0.0003183947],"domain_scores_gemma":[0.9962788,0.002138582,0.0005640077,0.0003262859,0.0006057708,0.00008661828],"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":[0.000106518,0.00003069664,0.04060654,0.00001251727,0.000007057203,0.000003533249,0.0003446617,0.8345258,0.0004283425,0.001180551,0.000003900854,0.1227499],"study_design_scores_gemma":[0.00302659,0.00002821244,0.004086045,0.00009879929,0.00001303292,0.0001381112,0.00233652,0.982708,0.003142133,0.004102492,0.00008140103,0.000238703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5615421,0.00003373946,0.4368894,0.0002776139,0.0006185544,0.0004794988,0.00001980954,0.0000705467,0.00006869422],"genre_scores_gemma":[0.7094513,0.00001015414,0.2902335,0.00003361521,0.0001153552,0.0000516568,0.00007764531,0.00001587899,0.00001095454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1481822,"threshold_uncertainty_score":0.9999976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.127387408194525,"score_gpt":0.39216551898767,"score_spread":0.2647781107931451,"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."}}