{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002349196,0.0006380745,0.0003239349,0.0004932826,0.0003531996,0.0005454884,0.0006078207,0.0004920236,0.01610489],"category_scores_gemma":[0.000623156,0.0002772887,0.0002353646,0.0003337223,0.0002074036,0.0006972416,0.0005643828,0.0005475338,0.007705539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002340738,"about_ca_system_score_gemma":0.0004949938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006179005,"about_ca_topic_score_gemma":0.001013991,"domain_scores_codex":[0.9997643,0.00002530103,0.00001194694,0.00002926968,0.0001482954,0.00002100742],"domain_scores_gemma":[0.9998029,0.00003524789,0.00002621562,0.00003334871,0.00006790729,0.00003441325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004057946,0.0001698357,0.000837092,0.0004154328,0.00003519022,0.0003142531,0.0002405517,0.005002933,0.1508847,0.0104563,0.09100072,0.7402372],"study_design_scores_gemma":[0.000141806,0.0007644895,0.003198754,0.0001268054,0.00007265153,0.001364311,0.0000693452,0.04263841,0.1159669,0.003863095,0.8316936,0.000099849],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03182508,0.002130721,0.7439163,0.0008654901,0.000600234,0.000795674,0.00100884,0.07680899,0.1420487],"genre_scores_gemma":[0.2582999,0.002494302,0.4564694,0.001123464,0.0003395951,0.0008662141,0.002717504,0.00320032,0.2744894],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01610489,"threshold_uncertainty_score":0.05387628,"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."}}