{"id":"W4399449859","doi":"10.1145/3662158.3662800","title":"Strongly Linearizable LL/SC from CAS","year":2024,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Programming language; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006859821,0.001034081,0.0005908165,0.0007265637,0.0007106335,0.001635178,0.002838189,0.0007203144,0.01285824],"category_scores_gemma":[0.002430934,0.0005628811,0.0006333732,0.001340702,0.001619854,0.003033895,0.002798917,0.002023177,0.003522347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001855407,"about_ca_system_score_gemma":0.002750944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006324485,"about_ca_topic_score_gemma":0.005600736,"domain_scores_codex":[0.9985589,0.0001685238,0.00009045175,0.0003063658,0.0005134117,0.0003622458],"domain_scores_gemma":[0.9974626,0.0007446258,0.0002328313,0.0009715545,0.0004554388,0.0001328832],"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":[0.002467404,0.0006928062,0.002386925,0.0008013755,0.00007394,0.0002965751,0.0007515852,0.08894376,0.1231674,0.1478708,0.03345844,0.5990889],"study_design_scores_gemma":[0.0004291586,0.0004483461,0.0005685653,0.00007249242,0.00008183318,0.0001978023,0.0001371236,0.6695024,0.182608,0.1198649,0.02599181,0.00009747705],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03658577,0.0001697981,0.917887,0.000261049,0.00006432932,0.0001585827,0.0002935138,0.03416114,0.01041885],"genre_scores_gemma":[0.4973001,0.0001172722,0.4845221,0.0004067433,0.00008183201,0.0003559298,0.001322726,0.002178184,0.01371504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01285824,"threshold_uncertainty_score":0.04301512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01128452803611121,"score_gpt":0.2445386356533647,"score_spread":0.2332541076172535,"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."}}