{"id":"W2750433897","doi":"10.5539/mas.v11n9p75","title":"A Modelling Framework to Design Executable Logical Architecture of Engineering Systems","year":2017,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Executable; Computer science; Software engineering; Architecture; Systems engineering; Systems design; Programming language; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001564946,0.001032294,0.0005011081,0.00146658,0.001044687,0.002216138,0.001742615,0.001216452,0.004009451],"category_scores_gemma":[0.001588177,0.0005936374,0.00224498,0.001004383,0.001745367,0.002216199,0.001422433,0.001815666,0.0008941968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001537077,"about_ca_system_score_gemma":0.002624826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00696658,"about_ca_topic_score_gemma":0.006930948,"domain_scores_codex":[0.9992151,0.0002558561,0.00008128736,0.0001235158,0.0002508272,0.00007338332],"domain_scores_gemma":[0.9995456,0.0001783552,0.00005647211,0.00008753447,0.0001055436,0.00002645003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001480927,0.00003044881,0.0002834407,0.0001606483,0.00002425388,0.0002129292,0.0003785544,0.1159633,0.003573927,0.8563535,0.001291909,0.02171227],"study_design_scores_gemma":[0.0000306194,0.00007992856,0.0002009429,0.0001904362,0.00006124994,0.0002325059,0.0001506177,0.5585781,0.003694855,0.3450499,0.09169125,0.00003947486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001071546,0.0001309888,0.9947684,0.0001494434,0.00002070504,0.00006221142,0.00007671659,0.0002548932,0.003465126],"genre_scores_gemma":[0.06010756,0.0005296174,0.9349855,0.00008027023,0.00003690386,0.0004650089,0.0003386838,0.0001216032,0.003334914],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00696658,"threshold_uncertainty_score":0.01385206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02643500996646806,"score_gpt":0.2219734466671818,"score_spread":0.1955384367007137,"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."}}