{"id":"W1489392556","doi":"10.37236/472","title":"Random Subnetworks of Random Sorting Networks","year":2010,"lang":"en","type":"article","venue":"The Electronic Journal of Combinatorics","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Combinatorics; Mathematics; Subnetwork; Conjecture; Random graph; Sorting; Sorting network; Discrete mathematics; Graph; Sorting algorithm; Algorithm; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001679365,0.0004183235,0.0007025527,0.002697831,0.001255269,0.002586356,0.001518139,0.001300211,0.006691283],"category_scores_gemma":[0.01245374,0.000762715,0.0008900626,0.001201638,0.002709923,0.004739303,0.001850968,0.001090494,0.0006661272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002007006,"about_ca_system_score_gemma":0.0004726714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001998703,"about_ca_topic_score_gemma":0.00234432,"domain_scores_codex":[0.9989156,0.0003981375,0.00005521772,0.0002875961,0.0001757091,0.0001677716],"domain_scores_gemma":[0.9921268,0.004274482,0.001360566,0.0009857004,0.0005073107,0.0007450934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002784362,0.0000655807,0.00513583,0.0001442996,0.00006466133,0.0003161636,0.0003448732,0.08858976,0.00357716,0.8853646,0.004260991,0.01185768],"study_design_scores_gemma":[0.000102147,0.00005953176,0.002464574,0.00004058049,0.00004994818,0.0002867945,0.0001425904,0.3711234,0.002103379,0.6195628,0.004023889,0.00004029657],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6689615,0.0005588745,0.301236,0.002199742,0.00006914773,0.000170411,0.0009838222,0.001110697,0.02470981],"genre_scores_gemma":[0.9670724,0.0004867957,0.02333709,0.000248886,0.00007901719,0.000292801,0.0008432066,0.0001399847,0.007499971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006691283,"threshold_uncertainty_score":0.02238452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137335421995823,"score_gpt":0.273471849388716,"score_spread":0.2620984951687578,"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."}}