{"id":"W22256063","doi":"10.1007/978-3-319-05582-4_80","title":"Axon: A Middleware for Robotic Platforms in an Experimental Environment","year":2014,"lang":"en","type":"book-chapter","venue":"Advances in intelligent systems and computing","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Middleware (distributed applications); Robot; Computer science; Message oriented middleware; Mobile robot; Embedded system; Distributed computing; Robotics; Artificial intelligence; Operating system; Software; Software architecture","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":[0.0002502589,0.0004384586,0.0007274253,0.0002088647,0.0000595831,0.00008010359,0.0001858915,0.0002494747,0.00000883969],"category_scores_gemma":[0.000002865041,0.0004246475,0.00007887592,0.00002346502,0.00003733419,0.0001205608,0.0000562533,0.0002446998,0.00001282583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002404196,"about_ca_system_score_gemma":0.000006577546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001428525,"about_ca_topic_score_gemma":0.00002700157,"domain_scores_codex":[0.9980888,0.00001023549,0.0008950137,0.0004456342,0.0001853518,0.0003749286],"domain_scores_gemma":[0.9993644,0.0001004092,0.0001688418,0.0002623394,0.00001343619,0.00009057998],"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":[0.000005603983,0.00001408635,0.0001274022,0.0008377183,0.00001938714,0.00001161536,0.0004336507,0.9685998,0.00003491459,0.02250368,0.00001027789,0.007401863],"study_design_scores_gemma":[0.0003009604,0.0001704083,0.000006629021,0.003025969,0.0000100154,0.00002550277,0.0005613256,0.9692879,0.0001244687,0.0006994471,0.02517461,0.0006127782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01949846,0.2400599,0.6910975,0.000007067364,0.008129708,0.00501237,0.00003955988,0.0005609635,0.03559452],"genre_scores_gemma":[0.9950201,0.001194742,0.0007330048,0.000008452457,0.0003565265,0.00006538216,0.00005764238,0.0001238063,0.002440344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9755216,"threshold_uncertainty_score":0.9998205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0224247588988362,"score_gpt":0.2447075239325458,"score_spread":0.2222827650337096,"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."}}