{"id":"W2165265954","doi":"10.1109/ccc.1997.612318","title":"On randomization in online computation","year":2002,"lang":"en","type":"article","venue":"","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Randomized algorithm; Bounding overwatch; Online algorithm; Computer science; Maximization; Bounded function; Equivalence (formal languages); Competitive analysis; Randomized experiment; Computation; Theoretical computer science; Algorithm; Mathematics; Mathematical optimization; Artificial intelligence; Discrete mathematics; Upper and lower bounds; 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":[0.01017265,0.001227233,0.001930413,0.001404644,0.00185777,0.0043417,0.002904278,0.003156661,0.007570292],"category_scores_gemma":[0.04884364,0.0008329208,0.001735472,0.002475271,0.009509353,0.01388977,0.004312544,0.00733359,0.00167663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003525587,"about_ca_system_score_gemma":0.00298747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001332701,"about_ca_topic_score_gemma":0.0008895556,"domain_scores_codex":[0.9861047,0.007435249,0.0005559196,0.002012125,0.002789926,0.001102125],"domain_scores_gemma":[0.9541631,0.03752613,0.001165934,0.005130851,0.00142332,0.0005906801],"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":[0.00006637719,0.00003461013,0.0002079438,0.00008974875,0.00001856319,0.00002776865,0.00005746072,0.0142857,0.0002910703,0.9713997,0.002010533,0.01151046],"study_design_scores_gemma":[0.0000464433,0.0000392822,0.00009430629,0.00003540485,0.0000126095,0.00003203,0.00001470099,0.06006059,0.0004290042,0.9341593,0.005060782,0.00001533145],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0148042,0.004686707,0.9348239,0.008837201,0.0006292519,0.0001788504,0.000208912,0.0008135448,0.03501733],"genre_scores_gemma":[0.6487845,0.007410424,0.309778,0.006338381,0.003586285,0.001636037,0.0004652273,0.0009513326,0.02104982],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01017265,"threshold_uncertainty_score":0.05379874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03379990685286485,"score_gpt":0.2720054378864515,"score_spread":0.2382055310335867,"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."}}