{"id":"W4386803560","doi":"10.1002/spe.3262","title":"High‐performance extended actors","year":2023,"lang":"en","type":"article","venue":"Software Practice and Experience","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Scalability; Concurrency; Debugging; Robustness (evolution); Distributed computing; Shared memory; TRACE (psycholinguistics); Decoupling (probability); Ask price; Parallel computing; Operating system","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":[0.001894615,0.0005813653,0.0003873899,0.0004973483,0.0008237412,0.002825007,0.00183112,0.0007852569,0.0147524],"category_scores_gemma":[0.004289933,0.0004227788,0.0005192116,0.0006433608,0.001334888,0.003961503,0.003191667,0.001718352,0.002941108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100241,"about_ca_system_score_gemma":0.0010353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001661042,"about_ca_topic_score_gemma":0.001439968,"domain_scores_codex":[0.9984689,0.0004175944,0.0001249683,0.0002477154,0.0005065126,0.0002342383],"domain_scores_gemma":[0.9963552,0.0008786896,0.0002521951,0.001439707,0.0007790459,0.0002952592],"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":[0.00178913,0.0001966092,0.003222932,0.0005347915,0.00007879754,0.0009146072,0.001281805,0.09792756,0.03511595,0.6917989,0.02866881,0.1384701],"study_design_scores_gemma":[0.0002747436,0.0003151392,0.000782768,0.0001598767,0.000094853,0.0005183777,0.0002075583,0.375569,0.04131657,0.1663247,0.4143209,0.0001156433],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.056409,0.0005411556,0.8644317,0.0007849148,0.0003778996,0.0001907608,0.0003515773,0.01942709,0.05748588],"genre_scores_gemma":[0.6019204,0.0006281012,0.329978,0.0003625027,0.0002391789,0.0003814945,0.0009812519,0.002568995,0.06294009],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.0147524,"threshold_uncertainty_score":0.04935175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01786703427267446,"score_gpt":0.2932195044419998,"score_spread":0.2753524701693254,"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."}}