{"id":"W3174162781","doi":"10.1145/3461837.3464515","title":"R2GSync and edge views","year":2021,"lang":"en","type":"article","venue":"","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Relational database management system; Joins; sync; Graph; Relational database; Synchronization (alternating current); Enhanced Data Rates for GSM Evolution; Theoretical computer science; Join (topology); Set (abstract data type); Database; Information retrieval; Programming language; Computer network; Artificial intelligence","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":[0.00009828806,0.00003654553,0.00004961719,0.00001458499,0.00004633841,0.0000701918,0.0001345878,0.00001337054,0.00006615121],"category_scores_gemma":[0.000008650843,0.00002902558,0.00001876135,0.0001434934,0.00001606277,0.0001459146,0.0001338697,0.00003145339,0.00005152341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001284911,"about_ca_system_score_gemma":0.00001187161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.855182e-7,"about_ca_topic_score_gemma":0.000002196041,"domain_scores_codex":[0.999649,0.00003042082,0.00005021431,0.0001466788,0.00004346339,0.00008016541],"domain_scores_gemma":[0.9997043,0.00002592583,0.000007881998,0.0002012194,0.00001887203,0.00004182477],"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":[1.594783e-7,0.00001447871,0.0001148884,0.000002790296,0.000002908761,0.00002597404,0.0001668547,3.625185e-7,0.0007962566,0.8784786,0.0007546603,0.1196421],"study_design_scores_gemma":[0.0005590558,0.00007094973,0.007887068,0.00002247407,0.000006657991,0.0003260933,0.0001560381,0.01905935,0.06821284,0.6495869,0.2536646,0.0004479125],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01997225,0.0008507646,0.9097765,0.001498815,0.0003371655,0.00003242968,4.01124e-7,0.000113673,0.06741799],"genre_scores_gemma":[0.7481772,0.0001162022,0.2290093,0.004198016,0.00009864496,0.00000637242,0.000001296651,0.000006237151,0.01838674],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7282049,"threshold_uncertainty_score":0.1183629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01905194193986144,"score_gpt":0.2370107735953705,"score_spread":0.217958831655509,"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."}}