{"id":"W4213447071","doi":"10.1109/wsc52266.2021.9715327","title":"Instructions for Authors of Papers Using Latex","year":2021,"lang":"en","type":"article","venue":"2021 Winter Simulation Conference (WSC)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Checklist; Computer science; Sample (material); Set (abstract data type); Software engineering; Programming language; Psychology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01387106,0.00170676,0.002104788,0.007466867,0.001968248,0.01185742,0.002752508,0.002377079,0.7446952],"category_scores_gemma":[0.1248727,0.001577031,0.001987591,0.006897221,0.00120183,0.005857725,0.003587276,0.0050616,0.7531629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001778207,"about_ca_system_score_gemma":0.004113008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005473486,"about_ca_topic_score_gemma":0.0008452233,"domain_scores_codex":[0.9863226,0.0032402,0.003363491,0.001087483,0.005516772,0.0004694092],"domain_scores_gemma":[0.8973027,0.04532278,0.007064154,0.0161968,0.02965082,0.0044627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005777495,0.00003040905,0.0001323572,0.0005902415,0.00001504566,0.00005760879,0.0001314495,0.0001514812,0.0007629378,0.003073476,0.9383546,0.05664273],"study_design_scores_gemma":[0.00003858572,0.00003889985,0.0002922156,0.0002570933,0.000006537792,0.000125708,0.00008962171,0.0002145493,0.0005289441,0.004123355,0.9942544,0.00003022952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.002932496,0.00536603,0.1317047,0.03243288,0.05299302,0.007793362,0.1875091,0.1156397,0.4636288],"genre_scores_gemma":[0.01349794,0.008175023,0.1763107,0.01320108,0.01355426,0.01109503,0.1119082,0.08588347,0.5663743],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7446952,"threshold_uncertainty_score":0.3641613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3544210589485513,"score_gpt":0.4625283547564387,"score_spread":0.1081072958078874,"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."}}