{"id":"W2149885182","doi":"10.1109/iros.2000.893219","title":"EME - low-cost embedded multiprocessing environment","year":2002,"lang":"en","type":"article","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Modular design; Computer science; Redundancy (engineering); Embedded system; Multiprocessing; Flexibility (engineering); Actuator; Robot; Extensibility; Interface (matter); Software; Distributed computing; Computer architecture; Computer hardware; Artificial intelligence; 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":[0.0003485983,0.0005129124,0.0003783034,0.0003495394,0.0002734877,0.0005376434,0.00128922,0.0005608893,0.009407966],"category_scores_gemma":[0.0006678101,0.0002437196,0.0002133167,0.0002124084,0.0002054253,0.001353436,0.001241131,0.0008667359,0.003856848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001425098,"about_ca_system_score_gemma":0.0001589716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005296385,"about_ca_topic_score_gemma":0.00009143216,"domain_scores_codex":[0.999671,0.00004208127,0.00001489108,0.00004872875,0.0001809671,0.00004227491],"domain_scores_gemma":[0.9997906,0.00004335044,0.0000242506,0.00006472009,0.0000460719,0.00003101723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009721365,0.0003290468,0.001128829,0.0006706159,0.00006669421,0.001155416,0.0001989174,0.01248593,0.3452138,0.05781265,0.03436153,0.5456043],"study_design_scores_gemma":[0.0001741183,0.0008312,0.001818877,0.0000809697,0.00004460234,0.003380899,0.00004441799,0.1006057,0.4174992,0.008220323,0.4672,0.00009969945],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03033354,0.001069709,0.9339229,0.000333421,0.000189555,0.000164105,0.000232913,0.01115046,0.02260338],"genre_scores_gemma":[0.2707459,0.0006375616,0.692552,0.0005219957,0.0001003084,0.000285075,0.0009573936,0.0008406048,0.03335903],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009407966,"threshold_uncertainty_score":0.0314728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03130859443610922,"score_gpt":0.2307696784494084,"score_spread":0.1994610840132992,"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."}}