{"id":"W2095609126","doi":"10.1109/robot.2006.1641736","title":"ARMUS, an ARM robotic processing system for educational purposes","year":2006,"lang":"en","type":"article","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Center for Integrated Nanotechnologies","keywords":"Microcontroller; Computer science; Curriculum; Embedded system; Energy consumption; Software engineering; Multimedia; Engineering management; Engineering; Electrical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00005624787,0.00009405537,0.00009382238,0.00004183335,0.0000691839,0.00007209426,0.00009636156,0.00003590182,0.00006021856],"category_scores_gemma":[0.000003977435,0.00008342923,0.0000287822,0.0000648503,0.00001046558,0.0001390635,0.000004507035,0.00003596687,0.00002222306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005076321,"about_ca_system_score_gemma":0.00002487644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004477587,"about_ca_topic_score_gemma":0.000040563,"domain_scores_codex":[0.9994563,0.000004207613,0.0001620377,0.0001279978,0.00008132946,0.0001681609],"domain_scores_gemma":[0.9997622,0.00001836405,0.00001547257,0.0001098693,0.00005310427,0.00004092843],"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":[0.000003197995,0.0001047582,0.0003188302,0.0006890185,0.00001209422,0.000001008832,0.00008110212,0.8964406,0.003288925,0.07644154,0.002320088,0.02029884],"study_design_scores_gemma":[0.0001316257,0.00004806053,0.00133867,0.00009746516,0.00002273896,0.00003137478,0.0002200836,0.9677184,0.02411345,0.002531612,0.00337649,0.0003700021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02070408,0.0006518486,0.960308,0.0001031144,0.0004991782,0.0003163272,0.000003397548,0.0004217818,0.01699224],"genre_scores_gemma":[0.9812123,0.000002119833,0.0170382,0.00001456429,0.0003609816,0.00006261037,0.00002854426,0.00002443462,0.001256256],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9605082,"threshold_uncertainty_score":0.3402145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01542329278559807,"score_gpt":0.2380366258995486,"score_spread":0.2226133331139505,"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."}}