{"id":"W2113863982","doi":"10.1002/cpe.3659","title":"Dekker's mutual exclusion algorithm made RW‐safe","year":2015,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thread (computing); Mutual exclusion; Correctness; Algorithm; Computer science; Tournament; Parallel computing; Mathematics; Theoretical computer science; Operating system; Combinatorics","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":[0.0003808795,0.0001618849,0.0001743548,0.00004155966,0.000256801,0.0003631282,0.0002506312,0.00006881991,0.00000344156],"category_scores_gemma":[0.0002059727,0.0001506479,0.00002089583,0.0002921205,0.0001139363,0.002425594,0.0002289373,0.0001441651,0.00003076329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002131275,"about_ca_system_score_gemma":0.00009779773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005458647,"about_ca_topic_score_gemma":8.968929e-7,"domain_scores_codex":[0.9985445,0.0001355716,0.0002939845,0.0004666763,0.0003290176,0.0002302159],"domain_scores_gemma":[0.998915,0.0001945672,0.0001828335,0.0001918483,0.0002606593,0.0002550755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002032361,0.00009763657,0.0001798825,0.00001795389,0.00001088231,0.00005334296,0.02856099,0.00008906497,0.0001081335,0.01830927,0.002225858,0.9503267],"study_design_scores_gemma":[0.001598381,0.0004159447,0.001039368,0.00009606381,0.00001781045,0.0007689098,0.01285111,0.8097576,0.0002438145,0.003301573,0.1692992,0.0006102069],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03085333,0.003229285,0.9614539,0.001158081,0.0008327618,0.0001529063,0.000005099396,0.00009766842,0.002217021],"genre_scores_gemma":[0.9630232,0.0002228956,0.03584772,0.0006434556,0.00009758475,0.0000305018,0.00001144158,0.000005635357,0.0001175605],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9497164,"threshold_uncertainty_score":0.6143243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03383703133070081,"score_gpt":0.3251101534292374,"score_spread":0.2912731220985366,"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."}}