{"id":"W2121963474","doi":"10.1109/hicss.1995.375508","title":"Efficient reconfiguration technique for redundant ring networks","year":2002,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Subring; Control reconfiguration; Ring (chemistry); Partition (number theory); Computer science; Node (physics); Component (thermodynamics); Construct (python library); Set (abstract data type); Topology (electrical circuits); Theoretical computer science; Mathematics; Discrete mathematics; Computer network; Combinatorics; Embedded system; Engineering; Physics","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":[0.0003643877,0.0000795759,0.00009738452,0.0000567986,0.0001517982,0.0001473663,0.0002451434,0.00006448742,0.00006349385],"category_scores_gemma":[0.00001407498,0.00006634532,0.00006579697,0.000161389,0.000008499675,0.00008002447,0.0000304658,0.00006656809,0.00002176942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003988867,"about_ca_system_score_gemma":0.000003894938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008440168,"about_ca_topic_score_gemma":0.000006947965,"domain_scores_codex":[0.9992143,0.00003206721,0.0002281402,0.0002446662,0.00008026668,0.0002005709],"domain_scores_gemma":[0.9994764,0.00006627341,0.00006518932,0.0002705979,0.00007895801,0.000042629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008651467,0.0001252217,0.0000209147,0.00002894344,0.00002887331,0.000004896086,0.000581953,0.3864951,0.004847668,0.5059204,0.04616644,0.05577096],"study_design_scores_gemma":[0.0001026046,0.00005975143,0.000007952573,0.00002351652,0.000001067275,0.00002858586,0.00001136749,0.9889431,0.00205193,0.0002068921,0.008465528,0.00009769513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002671196,0.00005846161,0.9725352,0.0003994744,0.001001235,0.0004630837,2.130872e-7,0.0001883398,0.02508685],"genre_scores_gemma":[0.9739148,0.000004114695,0.02255572,0.0001782426,0.000255408,0.000182601,5.272306e-7,0.000006623203,0.002901974],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9736477,"threshold_uncertainty_score":0.2705484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02511936993620286,"score_gpt":0.231118584250944,"score_spread":0.2059992143147411,"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."}}