{"id":"W2883140496","doi":"10.1145/3241950.3241953","title":"Synchronous Signals","year":2018,"lang":"en","type":"article","venue":"ACM SIGAda Ada Letters","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"General Dynamics (Canada)","funders":"","keywords":"Computer science; Synchronizing; Concurrency; Synchronization (alternating current); Abstraction; Code (set theory); Interface (matter); Blocking (statistics); Concurrency control; Parallel computing; Distributed computing; Programming language; Computer network; Transmission (telecommunications); Set (abstract data type); Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001484785,0.001208024,0.0006940904,0.001070293,0.0007877819,0.003490076,0.001377628,0.001099413,0.03368078],"category_scores_gemma":[0.003906274,0.0005788432,0.0008031352,0.0009406194,0.001172952,0.003336916,0.0017799,0.001757813,0.01229113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008240082,"about_ca_system_score_gemma":0.001150172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008429178,"about_ca_topic_score_gemma":0.001071136,"domain_scores_codex":[0.9977058,0.0005075859,0.0002113779,0.0004446258,0.0008645208,0.0002661243],"domain_scores_gemma":[0.9978047,0.0006523085,0.0002605297,0.0004237304,0.0007206164,0.0001381451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001466624,0.0001242528,0.001114217,0.001001271,0.00006661002,0.0004985137,0.0007967848,0.007483023,0.01912043,0.6225494,0.0726143,0.2731646],"study_design_scores_gemma":[0.0002228262,0.0004946557,0.0003187433,0.000181717,0.00008067367,0.0006576244,0.0001396764,0.03046497,0.02779719,0.08437092,0.8551791,0.00009189091],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008825378,0.00098896,0.9182711,0.0004957753,0.001800994,0.0002608024,0.001121959,0.01778562,0.05044942],"genre_scores_gemma":[0.286162,0.002151873,0.5778896,0.001950084,0.001561921,0.001066049,0.003447381,0.006692103,0.1190789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03368078,"threshold_uncertainty_score":0.1126734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215564041353887,"score_gpt":0.2366414925190289,"score_spread":0.2244858521054901,"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."}}