{"id":"W2062801531","doi":"10.1680/mpal.11.00049","title":"Simulation of scheduling logic using dynamic functions","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Management Procurement and Law","topic":"BIM and Construction Integration","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Computer science; Critical path method; Probabilistic logic; Interdependence; Scheduling (production processes); Schedule; Dynamic priority scheduling; Function (biology); Mathematical optimization; Distributed computing; Systems engineering; Engineering; Artificial intelligence; Mathematics","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":[0.0008924539,0.0005754854,0.0003528871,0.0007226022,0.000382845,0.0008874138,0.0009015593,0.000590836,0.003286436],"category_scores_gemma":[0.002657751,0.0002914387,0.0005620637,0.0004916823,0.0006997102,0.0007203305,0.0005378823,0.0005825587,0.0002092018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001160578,"about_ca_system_score_gemma":0.001157014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007884036,"about_ca_topic_score_gemma":0.003821097,"domain_scores_codex":[0.9994556,0.0002032453,0.00003314274,0.0000805707,0.0001300622,0.00009732604],"domain_scores_gemma":[0.9980575,0.001366028,0.0001264972,0.0001482878,0.0002421486,0.00005952777],"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":[0.00004780668,0.00002147732,0.0004701377,0.00001403696,0.000005138864,0.00002319222,0.00003898282,0.9881613,0.001087664,0.007408781,0.00007031766,0.002651155],"study_design_scores_gemma":[0.000005157724,0.00001362413,0.00005077637,0.00000165463,0.000002131139,0.00000407738,0.000006107555,0.9978369,0.0007299999,0.00108472,0.0002627235,0.000002095599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2879903,0.00008510307,0.6970624,0.0001481062,0.00005225806,0.0001264213,0.0004165778,0.001114709,0.01300423],"genre_scores_gemma":[0.9140495,0.00008720322,0.08287553,0.00002717777,0.000007547937,0.0001857929,0.0002272882,0.00008142099,0.002458498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007884036,"threshold_uncertainty_score":0.01567626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120433001766323,"score_gpt":0.2048403848560907,"score_spread":0.1936360548384274,"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."}}