{"id":"W2963431905","doi":"10.1090/proc/13284","title":"Bratelli Diagrams Where Random Orders are Imperfect","year":2017,"lang":"en","type":"article","venue":"UVic’s Research and Learning Repository (University of Victoria)","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; University of Victoria; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Combinatorics; Order (exchange); Diagram; Vertex (graph theory); Homeomorphism (graph theory); Enhanced Data Rates for GSM Evolution; Rank (graph theory); Discrete mathematics; Graph; Statistics; 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002477008,0.0001659218,0.0004254123,0.0001393487,0.002865972,0.0002206692,0.000559098,0.0002018027,0.00005588356],"category_scores_gemma":[0.00155324,0.0001749759,0.0001368693,0.0001183646,0.0006047449,0.0002752523,0.0003740576,0.0009256344,0.000001067556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007392319,"about_ca_system_score_gemma":0.00009325275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001158252,"about_ca_topic_score_gemma":0.0005238439,"domain_scores_codex":[0.9974911,0.0009376123,0.0001561768,0.0004061345,0.0005688603,0.0004400719],"domain_scores_gemma":[0.9969909,0.00127327,0.0003054123,0.0006702296,0.0004917321,0.0002684963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007580574,0.001442048,0.7180449,0.00596019,0.001884352,0.002988193,0.03964677,0.00008236544,0.07745536,0.0153267,0.0561198,0.07346874],"study_design_scores_gemma":[0.02265085,0.004568583,0.06046075,0.002603481,0.0004018153,0.0001646157,0.07666002,0.006796896,0.006248177,0.008719634,0.808322,0.00240323],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723479,0.0006231486,0.001428592,0.000328465,0.000412166,0.0003274017,0.000002882288,0.0000730414,0.02445639],"genre_scores_gemma":[0.9712663,0.0006973785,0.00253236,0.000002263813,0.0002835751,0.000001182751,0.000002126056,0.00002724251,0.02518762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7522022,"threshold_uncertainty_score":0.9984322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05880376639425772,"score_gpt":0.3335456523888553,"score_spread":0.2747418859945976,"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."}}