{"id":"W4220947026","doi":"10.18280/ria.360111","title":"Design of an Intelligent Hierarchical Level Structural Framework for Cyber-Physical Systems","year":2022,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cyber-physical system; Computer science; Systems engineering; Human–computer interaction; Engineering; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000708336,0.0002437873,0.0003896496,0.0001892064,0.0002719667,0.00008909511,0.001864517,0.00008166314,0.00002452252],"category_scores_gemma":[0.00005528039,0.0002536634,0.0001534606,0.0005727822,0.00009154269,0.0002537968,0.0005112289,0.000458852,0.000009117771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001386716,"about_ca_system_score_gemma":0.00008484975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003052955,"about_ca_topic_score_gemma":3.673556e-7,"domain_scores_codex":[0.9977086,0.0002148165,0.0005702833,0.0006445172,0.0004144128,0.0004473558],"domain_scores_gemma":[0.997785,0.0005866929,0.0001891872,0.001144365,0.0001477382,0.0001470578],"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":[0.00001681264,0.0000825411,0.000004953591,0.0000347333,0.00001089883,0.000004489219,0.001573951,0.5113744,0.001023394,0.4462288,0.00003576535,0.03960928],"study_design_scores_gemma":[0.00002111386,0.0006177374,0.000005942387,0.00004044252,0.000007559026,0.00004116106,0.00007688335,0.8992293,0.03565937,0.06215851,0.00188301,0.0002589336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01130202,0.0001119232,0.9864921,0.0001219148,0.0006623531,0.0008708945,0.00003643593,0.0003896371,0.00001269671],"genre_scores_gemma":[0.5161678,0.000003646757,0.4833771,0.00002101861,0.00007715658,0.0002550134,0.000007121977,0.00002231639,0.00006886516],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5048657,"threshold_uncertainty_score":0.9999915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08056166077248553,"score_gpt":0.3087155859451765,"score_spread":0.2281539251726909,"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."}}