{"id":"W2086450874","doi":"10.1145/2554688.2554761","title":"MPack","year":2014,"lang":"en","type":"article","venue":"","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Throughput; Benchmark (surveying); Embedded system; Chip; Field-programmable gate array; Process (computing); Computer hardware; Memory management; Semiconductor memory; Computer architecture; Operating system","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":[0.0009296351,0.0009762992,0.0004279987,0.0008932298,0.000588526,0.001635481,0.002429872,0.001011346,0.07858132],"category_scores_gemma":[0.003760268,0.0008346468,0.0006662107,0.0005993827,0.0005152691,0.002415609,0.001988872,0.001612615,0.04208746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004671601,"about_ca_system_score_gemma":0.001116113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008653665,"about_ca_topic_score_gemma":0.001458915,"domain_scores_codex":[0.999047,0.0001155644,0.00006612591,0.0002297916,0.0004282849,0.0001132876],"domain_scores_gemma":[0.9989034,0.000272534,0.00008659564,0.0003577623,0.0003005477,0.00007923262],"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":[0.0007505415,0.0002376702,0.002376498,0.001237521,0.00008152968,0.0004279304,0.0003078844,0.02329204,0.04039485,0.07064997,0.2679299,0.5923136],"study_design_scores_gemma":[0.0001513199,0.0002552891,0.001070524,0.0001357075,0.00003905682,0.0008819785,0.00005773203,0.06576253,0.03703623,0.03029952,0.864234,0.00007612195],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0141109,0.001262167,0.6466658,0.0007957656,0.0004628964,0.0005301164,0.004407239,0.1632325,0.1685326],"genre_scores_gemma":[0.1852705,0.00150425,0.5711248,0.001408111,0.000147357,0.001388367,0.01828128,0.02848852,0.1923868],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07858132,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001873830973594236,"score_gpt":0.1442334036201294,"score_spread":0.1423595726465351,"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."}}