{"id":"W2046692948","doi":"10.1016/j.jda.2004.04.004","title":"Computing input multiplicity in anonymous synchronous networks with dynamic faults","year":2004,"lang":"en","type":"article","venue":"Journal of Discrete Algorithms","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Hypercube; Multiplicity (mathematics); Computer science; Discrete mathematics; Function (biology); Network topology; Parity (physics); Topology (electrical circuits); Mathematics; Algorithm; Combinatorics; Parallel computing; Computer network","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":[0.0006846914,0.0002160968,0.0004435701,0.0002283177,0.0001231665,0.000152733,0.0007150157,0.0001094875,0.000002967213],"category_scores_gemma":[0.00001993379,0.0001576357,0.0001369643,0.0005364888,0.00004955972,0.0006142636,0.0001221485,0.0005696614,0.000005056767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00032263,"about_ca_system_score_gemma":0.0001353379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000185833,"about_ca_topic_score_gemma":0.0002680343,"domain_scores_codex":[0.9980289,0.000105145,0.0007667228,0.000276749,0.0003963946,0.0004261366],"domain_scores_gemma":[0.9986552,0.00009170018,0.0005952312,0.0002941205,0.0002123183,0.000151444],"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":[0.00004455313,0.0001126321,0.001178915,0.00001376895,0.00006568429,0.0005451658,0.001215085,0.9708643,0.00005679506,0.0005301933,0.00002944387,0.02534345],"study_design_scores_gemma":[0.002147087,0.0007171369,0.006706857,0.000470817,0.000009346085,0.001663395,0.0001860897,0.9874739,0.00005475342,0.0002392163,0.00008031199,0.0002510675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1663294,0.0003383711,0.8319032,0.0002553103,0.0008319544,0.0001318231,8.756947e-7,0.00003305097,0.0001760902],"genre_scores_gemma":[0.9480383,0.00003111336,0.05141767,0.0001314994,0.0003430323,0.000001533918,9.560044e-7,0.00001616221,0.00001976353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7817089,"threshold_uncertainty_score":0.6428196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005700822171285885,"score_gpt":0.2366629259965438,"score_spread":0.2309621038252579,"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."}}