{"id":"W1544986387","doi":"10.1007/978-3-540-74481-8_24","title":"Using Adaptable Design to Classify Interactions Within a Distributed Control Architecture","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Mechatronics; Modular design; Architecture; Distributed computing; Fault tolerance; Distributed design patterns; Control engineering; Computer architecture; Embedded system; Artificial intelligence; Distributed algorithm; Engineering; Operating system","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":[0.0003502408,0.0003908509,0.0003519117,0.0006516665,0.0001578303,0.0002227233,0.0004945245,0.0002201161,0.0000412787],"category_scores_gemma":[0.00005295936,0.0003664252,0.00005931847,0.0003475589,0.0001167961,0.0001630811,0.00009759344,0.0007756841,0.000009632402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003935029,"about_ca_system_score_gemma":0.0001314158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001712368,"about_ca_topic_score_gemma":0.0001083351,"domain_scores_codex":[0.9982512,0.00001196209,0.0003687557,0.0005419401,0.0003751824,0.000450984],"domain_scores_gemma":[0.999046,0.000215602,0.00009408145,0.000370925,0.0001131585,0.0001602882],"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":[0.00001383622,0.000004643659,0.000002746949,0.0000306498,0.00001197315,0.00001379184,0.0002373261,0.9481314,0.0001722626,0.000101355,0.000009741098,0.05127024],"study_design_scores_gemma":[0.0001773349,0.00004207171,0.00001270689,0.000354246,0.00001686957,0.00003385708,2.04094e-7,0.9900579,0.003641529,0.004120001,0.001126701,0.000416597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00003773272,0.0001204951,0.9972497,0.00007194898,0.001177515,0.0004336134,0.00002398873,0.0002161013,0.0006689561],"genre_scores_gemma":[0.3321272,0.000006497519,0.6668354,0.0004269746,0.0003986787,0.000009488313,0.00001498745,0.00007248362,0.0001082093],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3320895,"threshold_uncertainty_score":0.9998788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03996521250846075,"score_gpt":0.2588153837100522,"score_spread":0.2188501712015915,"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."}}