{"id":"W4380088575","doi":"10.1017/apr.2022.77","title":"Conditions for indexability of restless bandits and an algorithm to compute whittle index – CORRIGENDUM","year":2023,"lang":"en","type":"erratum","venue":"Advances in Applied Probability","topic":"Advanced Bandit Algorithms Research","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Mathematics; Index (typography); Minor (academic); Applied mathematics; Algorithm; Computer science; Humanities","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007045479,0.0006821842,0.00185677,0.00105292,0.0003257944,0.000186376,0.002145222,0.0007858821,0.0001010944],"category_scores_gemma":[0.004581444,0.0006100267,0.0001964252,0.002988569,0.001352642,0.0006696446,0.001042985,0.001435946,0.00004700148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004313589,"about_ca_system_score_gemma":0.0007260372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007838227,"about_ca_topic_score_gemma":0.002873447,"domain_scores_codex":[0.9907243,0.000467967,0.002236526,0.00292479,0.002578697,0.001067726],"domain_scores_gemma":[0.9908278,0.004148928,0.0008340941,0.002483094,0.001180714,0.0005253917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001009064,0.001415342,0.006645383,0.001419238,0.00008645582,0.00001803087,0.001437944,0.02662788,0.00004566825,0.004619057,0.1413359,0.81534],"study_design_scores_gemma":[0.001203076,0.0004450259,0.0200092,0.0001443332,0.00001878997,0.000002883973,0.0004657954,0.02185473,0.0001082795,0.7527513,0.2022004,0.0007961963],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006043724,0.002242888,0.9030362,0.0007841788,0.03763207,0.02324841,0.01549151,0.0006084461,0.01091258],"genre_scores_gemma":[0.2872316,0.003650226,0.5653807,0.001070565,0.01150391,0.03011891,0.01103871,0.001644899,0.08836047],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8145438,"threshold_uncertainty_score":0.9996351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1268680621095452,"score_gpt":0.4554397477832125,"score_spread":0.3285716856736672,"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."}}