{"id":"W3140180964","doi":"10.48550/arxiv.2104.03818","title":"A Network-based Compute Reuse Architecture for IoT Applications","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Architecture; Computer science; Reuse; Internet of Things; Computer architecture; Distributed computing; Computer network; Software engineering; Embedded system; Engineering; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002491988,0.0004435815,0.0002424741,0.0003926483,0.0006413746,0.0008340282,0.001417999,0.0003181399,0.001482599],"category_scores_gemma":[0.0004190916,0.0002038281,0.0003160386,0.0005971697,0.0004044019,0.001252187,0.0008145312,0.0005834064,0.000401682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001118525,"about_ca_system_score_gemma":0.001136447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006591526,"about_ca_topic_score_gemma":0.009009732,"domain_scores_codex":[0.9997819,0.00002811866,0.00001517956,0.00004764352,0.00007502136,0.00005225964],"domain_scores_gemma":[0.9997951,0.00002302701,0.00001758839,0.00006912562,0.00007148873,0.00002358087],"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":[0.001133289,0.0006340164,0.006724608,0.0004044563,0.0001701194,0.0006696424,0.0006072164,0.3623046,0.1744837,0.1089461,0.02931746,0.314605],"study_design_scores_gemma":[0.00003892692,0.0002002097,0.001504425,0.00003198897,0.00008191747,0.0001852077,0.00007071391,0.9094477,0.04617561,0.01362511,0.02859044,0.00004777511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.209253,0.001407243,0.7583948,0.0006596293,0.0001744169,0.0002050761,0.0001748292,0.006013733,0.02371719],"genre_scores_gemma":[0.8160547,0.0004624128,0.174634,0.0002341748,0.00004517921,0.0001325929,0.0003476476,0.0001951346,0.007894325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006591526,"threshold_uncertainty_score":0.01310635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06778921901155423,"score_gpt":0.1884533941521797,"score_spread":0.1206641751406254,"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."}}