{"id":"W1953336573","doi":"10.1007/978-3-642-03668-2_16","title":"Distributed Sensing and Control Architecture for Automotive Factory Automation","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Modular design; Automotive industry; Middleware (distributed applications); Automation; Factory (object-oriented programming); Wireless sensor network; Embedded system; Distributed computing; Architecture; Layer (electronics); Wireless; Computer network; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002135035,0.0004015632,0.0003267424,0.0002027658,0.000293574,0.0005295131,0.001091563,0.0005453447,0.002737847],"category_scores_gemma":[0.00019208,0.0002497294,0.0002282528,0.0002161451,0.0003138898,0.0005662685,0.0005236334,0.0006009105,0.0006729137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004136504,"about_ca_system_score_gemma":0.0003555984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001277791,"about_ca_topic_score_gemma":0.002109519,"domain_scores_codex":[0.9998418,0.00002044322,0.000007623906,0.00003667263,0.00007548237,0.00001802361],"domain_scores_gemma":[0.9999117,0.00001733025,0.000006969973,0.00002026036,0.00003821844,0.000005553477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002247401,0.0002088835,0.0003978376,0.0002245079,0.00005936455,0.0001596967,0.0002020148,0.3152351,0.1138591,0.06398575,0.009113675,0.4963294],"study_design_scores_gemma":[0.00004238579,0.000201544,0.0005625381,0.00002678613,0.00003120859,0.0001490683,0.00003878094,0.9142464,0.02926989,0.02806394,0.02734793,0.0000194824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01480802,0.0009433405,0.9723146,0.0001996312,0.0001184415,0.00004208177,0.00003128083,0.001364216,0.01017841],"genre_scores_gemma":[0.7098232,0.0009220492,0.2552959,0.000162899,0.0001259268,0.0001748873,0.0001844879,0.000093344,0.0332174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002737847,"threshold_uncertainty_score":0.009159029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01056562048503211,"score_gpt":0.2181957508103496,"score_spread":0.2076301303253175,"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."}}