{"id":"W4254516222","doi":"10.1145/1993498.1993573","title":"Synchronization via scheduling","year":2011,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Electronic Arts (Canada); Simon Fraser University; University of British Columbia","funders":"","keywords":"Computer science; Debugging; Programmer; Scheduling (production processes); Synchronization (alternating current); Task parallelism; Distributed computing; Parallel computing; Dependency graph; Dependency (UML); Graph; Task (project management); Parallelism (grammar); Theoretical computer science; Programming language; Software engineering","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":[0.002006222,0.001081911,0.001164775,0.001111147,0.001518147,0.002556936,0.001710262,0.0009902149,0.02203536],"category_scores_gemma":[0.006088691,0.0006401571,0.0007344388,0.001371964,0.001287556,0.003025389,0.003504211,0.00164331,0.007505482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001251599,"about_ca_system_score_gemma":0.002341995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002253002,"about_ca_topic_score_gemma":0.002529526,"domain_scores_codex":[0.9975969,0.0006464319,0.0001862718,0.0005497148,0.0006480207,0.0003727382],"domain_scores_gemma":[0.9972717,0.0006675018,0.0001700978,0.001284196,0.0004451811,0.000161238],"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":[0.0009561765,0.0002399534,0.001353424,0.0005797927,0.0001782282,0.0003535556,0.0009301204,0.07622603,0.0278884,0.5285207,0.0696899,0.2930836],"study_design_scores_gemma":[0.0003633304,0.0002508712,0.0005749141,0.0001499501,0.0001041204,0.0002379706,0.0001779553,0.2991346,0.03506536,0.4538161,0.2100017,0.0001231901],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009221025,0.0007755893,0.9412037,0.0005981798,0.0008815306,0.0003685897,0.0004832294,0.00986577,0.03660232],"genre_scores_gemma":[0.5087232,0.001658745,0.4225155,0.0008321178,0.0009282073,0.001152847,0.001957786,0.004121125,0.05811042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02203536,"threshold_uncertainty_score":0.07371563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02560450655145575,"score_gpt":0.2395958848827519,"score_spread":0.2139913783312961,"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."}}