{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009860649,0.0001521832,0.000197396,0.0001911136,0.0001920193,0.0001672989,0.0002070846,0.0001003239,0.0001250366],"category_scores_gemma":[0.0007757408,0.0001237605,0.00007163517,0.0001459555,0.00003822283,0.0005316127,0.00005129055,0.00007911121,0.00005374221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002035862,"about_ca_system_score_gemma":0.00001380488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002327271,"about_ca_topic_score_gemma":0.000003092087,"domain_scores_codex":[0.9984065,0.00006897541,0.0004832227,0.0003830366,0.0004332536,0.0002250541],"domain_scores_gemma":[0.9967158,0.002097082,0.0001547901,0.0004013721,0.0005096226,0.0001212858],"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":[0.00005673574,0.00005240372,0.001018528,0.000005589801,0.000006144086,3.106351e-8,0.001190439,0.8487774,0.00005425642,0.0234648,0.00004434252,0.1253293],"study_design_scores_gemma":[0.0003293017,0.00005054673,0.002761043,0.00001796055,0.000008368776,3.325039e-7,0.0001932359,0.9472221,0.00008924158,0.03780426,0.01137871,0.0001449194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1195956,0.0001205685,0.8763798,0.0008867132,0.0001288302,0.000512359,0.0000161247,0.0001014605,0.002258617],"genre_scores_gemma":[0.9970108,0.00001647089,0.002136628,0.0002184338,0.0001846935,0.00006029333,0.0000110031,0.00001441147,0.0003472495],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8774152,"threshold_uncertainty_score":0.5046808,"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."}}