{"id":"W4390605256","doi":"10.1145/3632873","title":"Coarser Equivalences for Causal Concurrency","year":2024,"lang":"en","type":"article","venue":"Proceedings of the ACM on Programming Languages","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Simons Institute for the Theory of Computing, University of California Berkeley; Ministry of Education, India","keywords":"Concurrency; Commutative property; Equivalence (formal languages); TRACE (psycholinguistics); Equivalence relation; Logical equivalence; Computer science; Mathematics; Thread (computing); Discrete mathematics; Theoretical computer science; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004181769,0.000142863,0.0001717955,0.000058037,0.0001035111,0.0004118473,0.002400987,0.00005595168,0.00000275719],"category_scores_gemma":[0.0005170365,0.00008933767,0.0001383197,0.0004074054,0.00007666776,0.0003314125,0.0004340483,0.0001245533,0.000007119602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002095003,"about_ca_system_score_gemma":0.00003514593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001543357,"about_ca_topic_score_gemma":0.000001042995,"domain_scores_codex":[0.9988235,0.000004918548,0.0002334845,0.0003546071,0.000296178,0.0002872686],"domain_scores_gemma":[0.9992014,0.0001276343,0.0001137099,0.0003570908,0.0001555494,0.00004467082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001393685,0.0001016535,0.001258366,0.001388592,0.00008332788,0.000003927013,0.00288145,0.000003285266,0.00726796,0.4381611,0.02319887,0.5256375],"study_design_scores_gemma":[0.00138216,0.001663262,0.001663143,0.006252382,0.0001613555,0.0001264564,0.004098448,0.0116428,0.1512585,0.04837365,0.771889,0.001488786],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8488408,0.03335357,0.03921856,0.03875957,0.01133556,0.00710838,0.0003620638,0.004312943,0.01670861],"genre_scores_gemma":[0.9833193,0.00001185829,0.01550713,0.00007418617,0.0001572059,0.0001345995,0.000001636961,0.00001276398,0.0007813046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7486902,"threshold_uncertainty_score":0.4461671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02269710457130419,"score_gpt":0.3079195908962046,"score_spread":0.2852224863249004,"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."}}