{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003277864,0.0001781998,0.0006142416,0.00006101644,0.0001319701,0.00002814551,0.0006019919,0.0001384566,0.00003519914],"category_scores_gemma":[0.003085278,0.0001122267,0.0002117269,0.0003399657,0.00008491303,0.0000721091,0.00005867634,0.001703107,0.000001047638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005176701,"about_ca_system_score_gemma":0.0002985648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000216811,"about_ca_topic_score_gemma":0.000008359299,"domain_scores_codex":[0.9977744,0.0001109606,0.0009434174,0.0001001878,0.0004833474,0.0005877422],"domain_scores_gemma":[0.9943649,0.003611089,0.001137996,0.0002814574,0.0005060964,0.00009842525],"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":[0.0004930407,0.000119247,0.00001716395,0.00003146837,0.0001215886,0.000004907365,0.0001213086,0.000238088,0.000201561,0.9966151,0.0003525688,0.001683992],"study_design_scores_gemma":[0.004239106,0.0003821177,0.000006537487,0.0000529065,0.0002330758,0.0001733944,0.00006571255,0.02287966,0.0004335378,0.9712071,0.0002095092,0.0001173748],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05399156,0.001576623,0.9424692,0.0001901465,0.001127906,0.0001800211,7.563224e-7,0.00001457322,0.0004491746],"genre_scores_gemma":[0.9987199,0.0003163043,0.0005346789,0.00003030078,0.0002968503,0.000003318836,3.882973e-7,0.0000299531,0.00006830283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9447283,"threshold_uncertainty_score":0.7399249,"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."}}