{"id":"W2022502207","doi":"10.1145/1543405.1543430","title":"Advances in multicore software engineering","year":2009,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multi-core processor; Computer science; Software engineering; Software; Parallelism (grammar); Field (mathematics); State (computer science); Software development; Systems engineering; Engineering; Operating system; Programming language; Parallel computing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005189218,0.0008442638,0.0006067467,0.001749724,0.0008668,0.002364385,0.001730959,0.001557781,0.006115633],"category_scores_gemma":[0.01268391,0.0005136746,0.0007942201,0.002181739,0.00122391,0.004563767,0.002300107,0.003453363,0.003056949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001806945,"about_ca_system_score_gemma":0.003525455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002528411,"about_ca_topic_score_gemma":0.003079295,"domain_scores_codex":[0.9962571,0.0006405893,0.0002047452,0.0003703111,0.002263624,0.0002636249],"domain_scores_gemma":[0.9888122,0.003735997,0.0004311365,0.00168293,0.004644982,0.0006927194],"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":[0.00007307044,0.0001594636,0.001342257,0.001080745,0.00005731401,0.0001004576,0.0004784736,0.009295338,0.006788019,0.2069394,0.02756074,0.7461247],"study_design_scores_gemma":[0.00002226944,0.0001557479,0.0008981978,0.0006698551,0.00003066259,0.0003504759,0.0002193887,0.03118388,0.00714935,0.1493505,0.8099176,0.00005214892],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.02991159,0.2012363,0.5977054,0.03939385,0.006631491,0.0001888939,0.0003201629,0.00285412,0.1217582],"genre_scores_gemma":[0.1580217,0.1631915,0.6319236,0.005951904,0.003393172,0.0002040559,0.0006689049,0.00113199,0.03551332],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006115633,"threshold_uncertainty_score":0.02744359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009594963990296888,"score_gpt":0.2291195184616115,"score_spread":0.2195245544713146,"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."}}