{"id":"W2147913239","doi":"10.5555/2429759.2430072","title":"Panel on grand challenges for modeling and simulation","year":2012,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Grand Challenges; Variety (cybernetics); Computer science; Critical mass (sociodynamics); Key (lock); Panel discussion; Data science; Sociology; Business; Social science","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":[0.01813316,0.001891406,0.001054971,0.001004667,0.003239709,0.007155254,0.00279946,0.009208727,0.03585333],"category_scores_gemma":[0.01857858,0.0008548566,0.002712977,0.0007441903,0.001890642,0.005556635,0.005699659,0.01467135,0.01376772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003878871,"about_ca_system_score_gemma":0.01007536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005111177,"about_ca_topic_score_gemma":0.005795225,"domain_scores_codex":[0.9941203,0.002444502,0.0002595506,0.0007719474,0.001821589,0.0005821444],"domain_scores_gemma":[0.9853318,0.004055894,0.0003549991,0.001409076,0.006236834,0.002611354],"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":[0.00004738657,0.00004580677,0.000188835,0.00008633518,0.00002231492,0.0000704122,0.0001553497,0.002501614,0.0005118749,0.04226134,0.9381568,0.01595198],"study_design_scores_gemma":[0.00001111118,0.00002247231,0.0001393934,0.0002213578,0.00001181356,0.0000384812,0.0001192738,0.001907495,0.0002947383,0.01884875,0.9783618,0.00002324668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003288807,0.0202253,0.0490871,0.7302293,0.08707756,0.0003842963,0.001462959,0.0008372434,0.1074075],"genre_scores_gemma":[0.09624799,0.04530331,0.08043783,0.1277479,0.06931262,0.002466342,0.00582725,0.003150817,0.5695059],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03585333,"threshold_uncertainty_score":0.1199414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5146092203563372,"score_gpt":0.4679481318091208,"score_spread":0.0466610885472164,"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."}}