{"id":"W2669437480","doi":"10.19255/jmpm251","title":"Proactive tactical planning approach for large scale engineering and construction projects","year":2017,"lang":"en","type":"article","venue":"Open Archive Toulouse Archive Ouverte (University of Toulouse)","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Robustness (evolution); Project management; Project planning; Contingency; Computer science; Contingency plan; Aggregate (composite); Resource (disambiguation); Operations research; Scale (ratio); Engineering; Risk analysis (engineering); Industrial engineering; Systems engineering; Reliability engineering","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":[0.0009918597,0.0006808608,0.0006531429,0.0006974752,0.0003648761,0.001090284,0.0008947938,0.0005476896,0.001673871],"category_scores_gemma":[0.001413158,0.0004406726,0.0004217984,0.0008182318,0.0004263944,0.0006120973,0.0009115508,0.0006149096,0.0001596691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007269993,"about_ca_system_score_gemma":0.001955592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005900747,"about_ca_topic_score_gemma":0.007534262,"domain_scores_codex":[0.9994981,0.0001809736,0.00002521171,0.0000862119,0.0001312371,0.0000782199],"domain_scores_gemma":[0.9992403,0.0004299992,0.0001277225,0.00006600821,0.00007742869,0.00005857134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002459524,0.00002061483,0.0002120073,0.00002800017,0.00002208366,0.00004711307,0.00004449916,0.9768176,0.001081304,0.002940017,0.000210159,0.01855191],"study_design_scores_gemma":[0.000004738861,0.00002790463,0.0001367669,0.000003415621,0.000007487731,0.00001420001,0.00002050411,0.9969971,0.0003280902,0.00210567,0.0003505716,0.00000353857],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04338131,0.0002079609,0.9523488,0.0001403764,0.00001426283,0.00009409554,0.0001150877,0.0003283461,0.003369776],"genre_scores_gemma":[0.8363557,0.0002203146,0.1617013,0.00003791715,0.0000112673,0.0002142238,0.0001783254,0.00003532161,0.001245639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005900747,"threshold_uncertainty_score":0.01173282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07624651867423142,"score_gpt":0.3183613259378243,"score_spread":0.2421148072635929,"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."}}