{"id":"W2979900520","doi":"10.1145/3352460.3358301","title":"DynaSprint","year":2019,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Semiconductor Research Corporation; National Science Foundation","keywords":"Sprint; Computer science; Cache; Software; Simulation; Operating system; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006949355,0.00003103911,0.00003713688,0.00002912513,0.0000147931,0.00003358587,0.0002972943,0.00001411817,0.00006220522],"category_scores_gemma":[0.000003198325,0.00002561052,0.00001664398,0.00009785387,0.000002987274,0.00009960488,0.0001223438,0.00002676243,0.0005706157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006743821,"about_ca_system_score_gemma":0.000009684478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004581932,"about_ca_topic_score_gemma":1.589259e-7,"domain_scores_codex":[0.9996889,0.000009000951,0.00005227356,0.0001173354,0.00006110318,0.00007134362],"domain_scores_gemma":[0.9996608,0.00001197191,0.00001349412,0.0002736796,0.00002013235,0.00001991762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[2.572848e-7,0.00001145162,0.001217871,0.000001628188,0.000001881597,6.268446e-7,0.0000412203,0.002056488,0.0001572293,0.9783337,0.002032401,0.01614527],"study_design_scores_gemma":[0.00008822795,0.00003323546,0.001814957,0.00000372705,2.243936e-7,0.000003922955,0.000002235148,0.9683054,0.004854587,0.005029532,0.01976176,0.000102201],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002627154,0.000006955328,0.849912,0.0002956888,0.00008614235,0.00003722003,1.358538e-8,0.0006141553,0.1464206],"genre_scores_gemma":[0.5071483,0.000001824302,0.4889886,0.0003279997,0.000004612163,9.100353e-7,1.149715e-7,0.00000124294,0.003526455],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9733042,"threshold_uncertainty_score":0.73343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008122020047612871,"score_gpt":0.232413719262926,"score_spread":0.2242916992153132,"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."}}