{"id":"W1996236313","doi":"10.1016/s0024-3795(03)00495-6","title":"Digraph-based conditioning for Markov chains","year":2003,"lang":"en","type":"article","venue":"Linear Algebra and its Applications","topic":"Matrix Theory and Algorithms","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Digraph; Mathematics; Bounded function; Combinatorics; Markov chain; Directed graph; Discrete mathematics; Stationary distribution; Strongly connected component; Graph; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00284049,0.0009720271,0.001840938,0.001769739,0.001393358,0.002674408,0.002110234,0.001311081,0.009724966],"category_scores_gemma":[0.01966616,0.0009464714,0.001080682,0.002563003,0.003435651,0.004757943,0.002649278,0.003683619,0.00101994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002857749,"about_ca_system_score_gemma":0.003075044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008071973,"about_ca_topic_score_gemma":0.01074214,"domain_scores_codex":[0.9980333,0.000743412,0.00009207378,0.0005072018,0.0003765507,0.0002473871],"domain_scores_gemma":[0.980575,0.01401752,0.001143771,0.001715338,0.001595429,0.0009528865],"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":[0.0001123303,0.00009817207,0.0007124561,0.0001058887,0.00004399664,0.00006234503,0.0001195614,0.09198354,0.0006133221,0.8820977,0.002919105,0.02113151],"study_design_scores_gemma":[0.00001969124,0.00001842597,0.0001434763,0.00002274511,0.00001472838,0.00002204925,0.00001400966,0.318781,0.0003825783,0.6794674,0.001095944,0.00001796824],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01143846,0.0003387252,0.9835059,0.0003735994,0.00007107346,0.00003947388,0.0002798003,0.0002814553,0.003671526],"genre_scores_gemma":[0.7617289,0.002192409,0.2133896,0.0008344078,0.000521955,0.0004721304,0.001785798,0.0004157332,0.01865899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009724966,"threshold_uncertainty_score":0.03253329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126469366402728,"score_gpt":0.2500672739411244,"score_spread":0.2388025802770971,"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."}}