{"id":"W2663077448","doi":"10.20965/jaciii.2009.p0511","title":"Special Issue on Soft Computing for Modeling and Simulation","year":2009,"lang":"en","type":"article","venue":"Journal of Advanced Computational Intelligence and Intelligent Informatics","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Soft computing; Excellence; Informatics; Soft skills; Event (particle physics); Government (linguistics); Modeling and simulation; Software; Software engineering; Engineering management; Data science; Artificial intelligence; Simulation; Management; Fuzzy logic; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005391624,0.0001738779,0.0002539811,0.0002499791,0.0002221629,0.0002126454,0.000282295,0.00006193191,0.000003873208],"category_scores_gemma":[0.0001863955,0.0001542829,0.00007381333,0.0001713389,0.0000290906,0.0009666755,0.00004265014,0.0002351699,0.000004736594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004323849,"about_ca_system_score_gemma":0.00006522785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.908406e-7,"about_ca_topic_score_gemma":9.603982e-8,"domain_scores_codex":[0.9983339,0.00002181835,0.000977288,0.000120267,0.0003367254,0.0002100275],"domain_scores_gemma":[0.9979227,0.0008137251,0.0005312719,0.0000983476,0.000512834,0.0001211798],"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":[0.00003865214,0.00002019145,0.000009515706,0.00001974658,0.000009369275,9.505593e-7,0.002075821,0.629072,0.000001177965,0.00770502,0.00008997625,0.3609576],"study_design_scores_gemma":[0.0001417502,0.0009356607,0.0000206424,0.0002246809,0.000008501369,0.00004500595,0.0005459205,0.9378974,0.0001580534,0.05683127,0.003031026,0.0001600549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009928244,0.0001633818,0.9885482,0.0004053524,0.0004101467,0.0001604997,0.000002255957,0.00002379458,0.0003581756],"genre_scores_gemma":[0.5695339,0.0001001335,0.4282847,0.001066234,0.0009860896,5.982413e-7,0.0000051953,0.000005711639,0.00001733678],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5602634,"threshold_uncertainty_score":0.6291475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03538936970135051,"score_gpt":0.3191531456959236,"score_spread":0.283763775994573,"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."}}