{"id":"W2919203267","doi":"","title":"Feasibility of internal object pools to reduce memory management activity.","year":2018,"lang":"en","type":"article","venue":"Conference of the Centre for Advanced Studies on Collaborative Research","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Object (grammar); Artificial intelligence","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":[0.00180917,0.0008143728,0.0006406838,0.0009616641,0.001206537,0.00233005,0.00319919,0.0007371285,0.01146189],"category_scores_gemma":[0.006446624,0.0004663924,0.0005586232,0.0009530231,0.000770513,0.003765496,0.002238748,0.0008102244,0.002340789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006470401,"about_ca_system_score_gemma":0.002112141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001589547,"about_ca_topic_score_gemma":0.001960217,"domain_scores_codex":[0.9990626,0.0003152136,0.0000643914,0.000145809,0.0001730936,0.0002389663],"domain_scores_gemma":[0.9951974,0.001431624,0.0002777218,0.001997179,0.0007371803,0.0003588566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005637957,0.001923625,0.01183476,0.001065464,0.0002906694,0.0005363954,0.001044459,0.08804633,0.1236194,0.08664381,0.03772001,0.6416371],"study_design_scores_gemma":[0.00100856,0.002162856,0.005601064,0.0003135539,0.0006939656,0.0006103514,0.001004711,0.57397,0.2966308,0.06226205,0.05562452,0.0001176336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5141438,0.004318798,0.4165171,0.001781999,0.0007011796,0.0006522288,0.00080874,0.009117861,0.05195836],"genre_scores_gemma":[0.8648926,0.0004692759,0.1230751,0.0002311268,0.00009787158,0.0003547877,0.0005765125,0.0003692047,0.009933594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01146189,"threshold_uncertainty_score":0.03834385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1356349445778872,"score_gpt":0.4459881441417481,"score_spread":0.3103531995638609,"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."}}