{"id":"W2933217055","doi":"10.1109/hpca.2019.00039","title":"The What's Next Intermittent Computing Architecture","year":2019,"lang":"en","type":"article","venue":"","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Set (abstract data type); Power (physics); Energy (signal processing); Task (project management); Parallel computing; Vectorization (mathematics); Embedded system; Distributed computing; Programming language; 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":[0.0001132702,0.0001113442,0.00008910505,0.00001907128,0.0000655486,0.0004429897,0.000248619,0.00004875109,0.00003696748],"category_scores_gemma":[0.00001008596,0.00007320442,0.00004317676,0.00007964651,0.00002371111,0.0002054119,0.00006976676,0.0002612573,0.0001374353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002504639,"about_ca_system_score_gemma":0.000003812005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004615875,"about_ca_topic_score_gemma":0.00002119241,"domain_scores_codex":[0.9993781,0.00001834026,0.000139175,0.000110807,0.00009644555,0.0002571392],"domain_scores_gemma":[0.9993853,0.0002637338,0.0000163722,0.0002804961,0.00001406865,0.00004004287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[8.595708e-7,0.000001558053,0.0001624766,0.00001115779,0.00001639504,0.00000123432,0.00009016959,0.6689342,0.0004256361,0.001265384,0.0004992048,0.3285917],"study_design_scores_gemma":[0.0001449644,0.00001754375,0.001636395,0.0001861924,0.000004136645,0.00001864933,0.0004903218,0.950733,0.0007976071,0.0001964389,0.04555252,0.0002221992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9240452,0.002158852,0.03432203,0.0003661514,0.00380907,0.0001659026,1.454941e-7,0.001120409,0.03401224],"genre_scores_gemma":[0.9968985,0.0001564061,0.00133355,0.0001477203,0.0002116542,0.000002465022,0.000001443095,0.00003243025,0.001215799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3283695,"threshold_uncertainty_score":0.427176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005322371579152605,"score_gpt":0.1834132554557009,"score_spread":0.1780908838765483,"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."}}