{"id":"W2568490940","doi":"10.4018/ijssci.2017010104","title":"An Artificial Intelligence-Based Vehicular System Simulator","year":2017,"lang":"en","type":"article","venue":"International Journal of Software Science and Computational Intelligence","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Simulation; Human–computer interaction; Artificial intelligence","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":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.002223132,0.0002013351,0.0002604252,0.0004455926,0.0008661728,0.00280898,0.005675525,0.00006717457,0.000006817992],"category_scores_gemma":[0.0008038109,0.0001774039,0.0001111843,0.0002980876,0.0006938505,0.002421159,0.0003305612,0.0002362183,0.00002506225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002146084,"about_ca_system_score_gemma":0.001050161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003674381,"about_ca_topic_score_gemma":0.000001897478,"domain_scores_codex":[0.9961714,0.0000716546,0.0008203712,0.0004634442,0.002172242,0.0003009529],"domain_scores_gemma":[0.9935147,0.0002845714,0.0009900492,0.0005206275,0.004376681,0.0003134267],"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":[0.00003196564,0.0001219664,0.001029587,0.00001459648,0.00003540036,0.00018734,0.0003504542,0.7098557,0.0001241163,0.1641555,0.00001987725,0.1240735],"study_design_scores_gemma":[0.00008059833,0.0002263151,0.002444713,0.0002195714,0.000007872382,0.0004032759,0.0001981718,0.9625084,0.00168227,0.03178556,0.0002153113,0.0002278875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05350749,0.00008018841,0.9430058,0.0007810334,0.002364793,0.00008954306,0.00001029447,0.00007088915,0.00008995755],"genre_scores_gemma":[0.9279436,0.000003649908,0.07151613,0.0001759333,0.0003448378,0.000002043914,0.000003045169,0.00000717692,0.00000357889],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8744361,"threshold_uncertainty_score":0.9997042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0368538605243459,"score_gpt":0.3293030671005497,"score_spread":0.2924492065762038,"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."}}