{"id":"W2096430829","doi":"10.5555/2675983.2676383","title":"Time-stepped, simulation-based scheduling system for large-scale industrial construction projects","year":2013,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Resource-Constrained Project Scheduling","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Scheduling (production processes); Computer science; Idle; Duration (music); Industrial engineering; Variable (mathematics); Operations research; Distributed computing; Real-time computing; Engineering; Operations management; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008020194,0.0006500993,0.0006510312,0.0005727775,0.0006047817,0.0006823819,0.001075649,0.0004921267,0.004482159],"category_scores_gemma":[0.001204374,0.0004336954,0.0003965007,0.0005640967,0.000320055,0.0005530912,0.0006802548,0.0004456505,0.0004694558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009068111,"about_ca_system_score_gemma":0.001967475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01012964,"about_ca_topic_score_gemma":0.01007695,"domain_scores_codex":[0.9997221,0.00009946606,0.00002912593,0.00005857561,0.00006331655,0.00002748745],"domain_scores_gemma":[0.9993826,0.0002883998,0.00006849861,0.00005924195,0.0001067068,0.00009449176],"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":[0.0001386728,0.00006577648,0.000671514,0.00003128814,0.00001776773,0.00004451172,0.00004183205,0.9823453,0.002071138,0.001138821,0.0004843893,0.01294899],"study_design_scores_gemma":[0.00001366391,0.00001682627,0.00006895055,0.00000135419,0.00000380047,0.000003463731,0.000004925205,0.9990363,0.0003287487,0.0002248264,0.000294245,0.000002913688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1800387,0.0001929333,0.8058559,0.0001676042,0.00007091476,0.0003694838,0.0004927721,0.007094684,0.00571699],"genre_scores_gemma":[0.8649964,0.0001477252,0.1320529,0.00002563844,0.00001066637,0.0004207443,0.0004759326,0.00009085525,0.001779201],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01012964,"threshold_uncertainty_score":0.02014136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1362791873176047,"score_gpt":0.3597215394200818,"score_spread":0.2234423521024771,"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."}}