{"id":"W2284004793","doi":"10.22060/miscj.2015.544","title":"Developing Robust Project Scheduling Methods for Uncertain Parameters","year":2015,"lang":"en","type":"article","venue":"","topic":"Resource-Constrained Project Scheduling","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Scheduling (production processes); Schedule; Operations research; Project management; Dynamic priority scheduling; Robust optimization; Mathematical optimization; Systems engineering; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0208617,0.0003121695,0.0005739413,0.00070859,0.0002469555,0.0007619782,0.001256455,0.0001870665,0.0000417095],"category_scores_gemma":[0.04139137,0.0002211189,0.0002509312,0.00182565,0.0001708294,0.0005106637,0.0002535636,0.0002415804,0.00008969366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002137766,"about_ca_system_score_gemma":0.001392355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001332916,"about_ca_topic_score_gemma":0.00002401373,"domain_scores_codex":[0.9952577,0.000812498,0.001143465,0.0009837146,0.001075337,0.0007272968],"domain_scores_gemma":[0.9905469,0.007088576,0.0003708075,0.0007510764,0.0009778426,0.000264771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000304462,0.00006009924,0.00364407,0.00003653992,0.0001433831,0.00001234276,0.005966192,0.1128223,0.0009548017,0.03586244,0.003639258,0.8365541],"study_design_scores_gemma":[0.00227429,0.0002903085,0.00006322531,0.00008522342,0.00004870774,0.00009426386,0.03858558,0.7491976,0.01331468,0.113787,0.08111509,0.001144092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02993622,0.000138227,0.9569445,0.00189909,0.0005682043,0.001042673,0.000004611094,0.0001958725,0.009270642],"genre_scores_gemma":[0.0173281,0.000002615191,0.9804357,0.0007574468,0.0001209833,0.0001465297,0.000005613711,0.00003585418,0.001167162],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.83541,"threshold_uncertainty_score":0.9666834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6115358886107809,"score_gpt":0.5414694386015658,"score_spread":0.07006645000921508,"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."}}