{"id":"W2273053682","doi":"10.37236/5330","title":"A Note on Maxima in Random Walks","year":2016,"lang":"en","type":"article","venue":"The Electronic Journal of Combinatorics","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Random walk; Mathematics; Combinatorics; Maxima; Asymptotically optimal algorithm; Discrete mathematics; Statistics; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005157113,0.001216166,0.00214177,0.00313411,0.002627614,0.003524946,0.0026834,0.002398184,0.007286786],"category_scores_gemma":[0.03032647,0.001175317,0.001822183,0.002294138,0.006172323,0.0109899,0.005354104,0.008870785,0.001336011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001998987,"about_ca_system_score_gemma":0.0007703794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00100556,"about_ca_topic_score_gemma":0.000782401,"domain_scores_codex":[0.9965552,0.001259824,0.000154709,0.000895793,0.0007852429,0.0003492422],"domain_scores_gemma":[0.9685588,0.02637481,0.001212653,0.00176577,0.001038333,0.001049486],"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":[0.00004283985,0.00001751871,0.0003432783,0.0001100215,0.00001668636,0.0001355977,0.0001423625,0.004011481,0.0007855449,0.981138,0.004212158,0.009044491],"study_design_scores_gemma":[0.00002677648,0.00004575007,0.0003131594,0.00007507201,0.00001663792,0.0001764945,0.00003522637,0.01497857,0.0007260643,0.9743435,0.009230697,0.00003199815],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07729025,0.02099094,0.7199267,0.02179387,0.00291007,0.0001290487,0.0005840914,0.001186515,0.1551885],"genre_scores_gemma":[0.8532856,0.01076151,0.09527338,0.005191361,0.007396531,0.000537581,0.0002635076,0.000964219,0.02632639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007286786,"threshold_uncertainty_score":0.02727377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01737681226835087,"score_gpt":0.2937531362308181,"score_spread":0.2763763239624673,"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."}}