{"id":"W4408061126","doi":"10.14778/3705829.3705850","title":"Making CRDTs Not So Eventual","year":2024,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; University of Toronto","funders":"","keywords":"Computer science","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":[0.0002744329,0.00009715712,0.0001010921,0.00008827762,0.0001484661,0.0001317896,0.001234567,0.00006093174,0.00000765207],"category_scores_gemma":[0.00002382055,0.00006750871,0.0000848089,0.0004722737,0.00009566357,0.0001448457,0.0006813091,0.0001829057,0.00002050816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004731297,"about_ca_system_score_gemma":0.00003166788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007215352,"about_ca_topic_score_gemma":8.602761e-7,"domain_scores_codex":[0.9990979,0.000002664765,0.0001857379,0.0002927933,0.0002328004,0.0001881331],"domain_scores_gemma":[0.9996076,0.00002646209,0.00007077293,0.0002078868,0.00006500675,0.00002231168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001455839,0.00003913893,0.0001270578,0.00005275269,0.00002151777,4.325742e-7,0.0007285989,0.000001824846,0.01248835,0.9549038,0.002150796,0.02948423],"study_design_scores_gemma":[0.0003050141,0.0001139939,0.001627929,0.0003873922,0.00004349466,0.0000875912,0.0002278815,0.03605692,0.5354989,0.2848721,0.1404117,0.0003670834],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8129536,0.003984507,0.05677037,0.09198646,0.002331064,0.00221491,0.00001880242,0.002747616,0.02699267],"genre_scores_gemma":[0.9926598,0.00002239676,0.006747958,0.0002570946,0.00004047043,0.00007559383,1.012644e-7,0.000006514512,0.000190045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6700318,"threshold_uncertainty_score":0.2752925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02123369697432146,"score_gpt":0.2670379170096228,"score_spread":0.2458042200353014,"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."}}