{"id":"W3005596503","doi":"","title":"Power-aware IoT Devices for the Future","year":2017,"lang":"en","type":"article","venue":"International Conference on Mobile Systems, Applications, and Services","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Internet of Things; Power (physics); Embedded 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":[0.0003323108,0.0006039923,0.0003334924,0.0003086075,0.0003893723,0.001697425,0.00116089,0.001138937,0.01805183],"category_scores_gemma":[0.0004888989,0.000251319,0.000348513,0.0005500102,0.0004754195,0.004721976,0.001386913,0.00155827,0.005021634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003381209,"about_ca_system_score_gemma":0.0004502662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004572128,"about_ca_topic_score_gemma":0.001243779,"domain_scores_codex":[0.9998338,0.0000178145,0.000009501739,0.00003462451,0.00006941269,0.00003477843],"domain_scores_gemma":[0.9996688,0.00005714657,0.00002126498,0.00005148268,0.0001411943,0.0000600985],"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":[0.0002010748,0.000172572,0.002022386,0.0008132563,0.00008279691,0.0005032307,0.0003715605,0.0057843,0.05822056,0.2293101,0.1659823,0.5365359],"study_design_scores_gemma":[0.00001710866,0.0001294871,0.00133636,0.000304035,0.00006412009,0.0006551524,0.0003267927,0.01276425,0.009975596,0.07355191,0.9008334,0.00004171873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04826644,0.1158679,0.3551522,0.06039453,0.009062274,0.0001765339,0.001836588,0.00427087,0.4049726],"genre_scores_gemma":[0.5835168,0.08594395,0.1286165,0.0146969,0.003240434,0.0001591861,0.002410167,0.0006315548,0.1807846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01805183,"threshold_uncertainty_score":0.0603894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02632307585269691,"score_gpt":0.3105346569962303,"score_spread":0.2842115811435334,"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."}}