{"id":"W4366160739","doi":"10.1007/978-3-031-20002-1_7","title":"Adaptive Algorithms","year":2023,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on distributed computing theory","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Crash; Algorithm; Distributed computing; Programming language","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":[0.0002894207,0.001013271,0.0006772594,0.0006027047,0.0003790117,0.001444512,0.0008213311,0.0009754467,0.04403553],"category_scores_gemma":[0.001412901,0.0003319663,0.0003718807,0.0008888024,0.0005891611,0.001162453,0.001101981,0.00153651,0.02779467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003739213,"about_ca_system_score_gemma":0.0003567629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004129882,"about_ca_topic_score_gemma":0.0004102378,"domain_scores_codex":[0.9996765,0.00003981359,0.00001196693,0.00009191917,0.0001587147,0.00002115636],"domain_scores_gemma":[0.9996758,0.00009157787,0.00001310097,0.0001181206,0.00008162009,0.00001978624],"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":[0.00006936853,0.00006144281,0.0002332959,0.0002002639,0.00004269003,0.00004674858,0.00004634516,0.02632196,0.006242802,0.2052289,0.1018593,0.6596469],"study_design_scores_gemma":[0.00004696801,0.00007953356,0.000586307,0.0001177283,0.00004368707,0.000296637,0.00003700566,0.1736725,0.007546913,0.3094557,0.5080788,0.00003825266],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002684654,0.006940513,0.7360985,0.001219731,0.002455156,0.00007511744,0.0003307507,0.002322886,0.2478727],"genre_scores_gemma":[0.1219734,0.009770482,0.208457,0.001463516,0.002558274,0.0003060266,0.001669416,0.001273253,0.6525285],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04403553,"threshold_uncertainty_score":0.1473135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02329756247213819,"score_gpt":0.2371842651728391,"score_spread":0.2138867027007009,"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."}}