{"id":"W2242932121","doi":"10.1007/978-1-4471-5073-2_6","title":"Features and Interoperability of Computer Aided Engineering Systems","year":2013,"lang":"en","type":"book-chapter","venue":"Springer series in advanced manufacturing","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Interoperability; Computer science; Semantic interoperability; Flexibility (engineering); Granularity; Feature (linguistics); Semantics (computer science); Software engineering; Field (mathematics); Process (computing); Unified Modeling Language; Data science; Systems engineering; Engineering; Programming language; World Wide Web; Mathematics; Software","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008901183,0.0005560998,0.0007183778,0.0002965782,0.00003263189,0.00008235433,0.0002221607,0.0003066413,0.00007645121],"category_scores_gemma":[0.000008887032,0.0005682564,0.00007437244,0.00002145564,0.00006871586,0.0004390785,0.0001918763,0.0005713436,0.000006383771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001375851,"about_ca_system_score_gemma":0.000008560134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002096464,"about_ca_topic_score_gemma":0.00001393972,"domain_scores_codex":[0.9984192,0.000006497562,0.000607665,0.0004475034,0.0001880438,0.000331151],"domain_scores_gemma":[0.9992612,0.000049788,0.000135131,0.0004259316,0.00004161404,0.00008633767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002799719,0.000006808486,0.00001843402,0.004839129,0.00009503683,0.00001264705,0.0003476258,0.966359,0.000290638,0.004462857,0.00004088921,0.02349892],"study_design_scores_gemma":[0.006531543,0.001020936,0.0341539,0.03050911,0.0004216713,0.0004748512,0.0004225928,0.132567,0.5144469,0.01125939,0.2541264,0.01406564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.543966,0.03920168,0.06674612,0.00009476386,0.01550106,0.007084071,0.0002041034,0.004550813,0.3226514],"genre_scores_gemma":[0.9550896,0.003449953,0.01822564,0.00001371328,0.0003099042,0.00009734057,0.00003631279,0.0003522598,0.02242531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.833792,"threshold_uncertainty_score":0.9996769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00520600536869252,"score_gpt":0.1766454602390093,"score_spread":0.1714394548703168,"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."}}