{"id":"W4400541984","doi":"10.1214/24-ejp1162","title":"Tail bounds for the O’Connell-Yor polymer","year":2024,"lang":"en","type":"article","venue":"Electronic Journal of Probability","topic":"Random Matrices and Applications","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mathematics; Yoruba; Pure mathematics; Linguistics","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":[0.002758783,0.001254853,0.0008380848,0.003294017,0.001132437,0.001664215,0.00163818,0.001577028,0.007237908],"category_scores_gemma":[0.01486924,0.0004479459,0.0008763983,0.0009074191,0.004035883,0.00444838,0.00368871,0.004158794,0.001945966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001079843,"about_ca_system_score_gemma":0.0005844181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006065209,"about_ca_topic_score_gemma":0.0004978276,"domain_scores_codex":[0.9991085,0.000203629,0.0000298493,0.0001736494,0.0003003593,0.0001839028],"domain_scores_gemma":[0.9886256,0.006371408,0.001456228,0.001335132,0.001152241,0.001059393],"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":[0.0001045641,0.00005601174,0.001204506,0.0001546112,0.00002294919,0.0002519992,0.0002354369,0.02857681,0.01050785,0.9437883,0.002174934,0.01292198],"study_design_scores_gemma":[0.0000145321,0.0001032651,0.001668726,0.0001431209,0.00003347184,0.0003078603,0.0000822983,0.3551725,0.01102969,0.626996,0.004342378,0.0001059597],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1685871,0.005899021,0.758089,0.003075683,0.0004138135,0.00006435934,0.0003345033,0.0009746315,0.06256201],"genre_scores_gemma":[0.9510841,0.002942791,0.03007029,0.000831541,0.0004856687,0.0001564426,0.0002447953,0.0004361251,0.01374827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007237908,"threshold_uncertainty_score":0.02421325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03467010922694206,"score_gpt":0.3263523571906293,"score_spread":0.2916822479636872,"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."}}