{"id":"W2011388137","doi":"10.5555/2429759.2430066","title":"Technical engine for democratization of modeling, simulations, and predictions","year":2012,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Nexus (standard); Computer science; Multidisciplinary approach; Big data; Data science; Domain (mathematical analysis); Democratization; Social media; Scale (ratio); Scalability; World Wide Web; Democracy","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":[0.001276012,0.00007575817,0.0001295303,0.0002184227,0.0001193277,0.0001193159,0.0002056598,0.00004176911,0.0001227857],"category_scores_gemma":[0.00215705,0.0000629674,0.00003775868,0.0003011768,0.000044844,0.0004892816,0.0001214038,0.00004039914,0.000008079715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000128114,"about_ca_system_score_gemma":0.00001881626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003316846,"about_ca_topic_score_gemma":0.000008088558,"domain_scores_codex":[0.9986411,0.00005014749,0.0005054144,0.0002724169,0.0003936924,0.0001372585],"domain_scores_gemma":[0.9980317,0.0008429154,0.0001431203,0.0003988633,0.0005139815,0.00006943913],"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":[0.00001201243,0.00004294127,0.006741659,0.000005118362,0.000004486481,1.230819e-8,0.0002845887,0.9687623,0.0001407114,0.004862325,0.0006327899,0.01851107],"study_design_scores_gemma":[0.0001914959,0.00002285384,0.004877887,0.00001434681,0.00001336868,3.805455e-7,0.00008594239,0.9864784,0.0000346261,0.005735925,0.002481736,0.00006300581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04795165,0.00002607677,0.9507086,0.0002156234,0.0003549399,0.000249653,0.00005167934,0.00004202867,0.0003997543],"genre_scores_gemma":[0.9875014,9.089199e-7,0.01200146,0.00003117271,0.00007729393,0.00000622001,0.00004303332,0.000004456476,0.0003340355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9395497,"threshold_uncertainty_score":0.2582346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1944075857434553,"score_gpt":0.4122383230734813,"score_spread":0.217830737330026,"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."}}