{"id":"W1985671439","doi":"10.1145/1011767.1011777","title":"Lower bounds for adaptive collect and related objects","year":2004,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Nondeterministic algorithm; Computer science; Upper and lower bounds; Algorithm; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001210999,0.00008525241,0.0001213986,0.00003173779,0.0001308906,0.0001314198,0.0001928125,0.00005475413,0.000005146162],"category_scores_gemma":[0.00001823462,0.00007026611,0.00003838275,0.0002685798,0.0000291262,0.0002386781,0.00004771501,0.00004549739,0.00001592272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004024207,"about_ca_system_score_gemma":0.00008252915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004829858,"about_ca_topic_score_gemma":0.00003042969,"domain_scores_codex":[0.9993075,0.000009663911,0.0001380607,0.000259165,0.00009648928,0.0001891158],"domain_scores_gemma":[0.9995881,0.00003592038,0.00003869894,0.0001977768,0.00007313335,0.00006632208],"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":[0.00004328824,0.0001344705,0.00004544809,0.00002186156,0.00006558701,0.00004145156,0.001537221,0.0004644791,0.0005004331,0.9818659,0.009248092,0.006031713],"study_design_scores_gemma":[0.02847516,0.006773649,0.01003577,0.0006805726,0.00007072976,0.000832864,0.00112539,0.3170158,0.01109194,0.433127,0.187354,0.003417172],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01273966,0.0003065505,0.9440391,0.0007285755,0.000632179,0.0004294103,0.00001291636,0.000199578,0.04091205],"genre_scores_gemma":[0.9815186,0.000003967484,0.01469678,0.0001594494,0.00001780089,0.00002634995,0.000001704751,0.000004666424,0.00357067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.968779,"threshold_uncertainty_score":0.2865368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036159351749001,"score_gpt":0.2247643378607285,"score_spread":0.2144027443432385,"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."}}