{"id":"W2789483321","doi":"10.5539/mas.v12n4p30","title":"A Power Saving Hybrid Technique for IoT","year":2018,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flexibility (engineering); Microcontroller; Installation; Computer science; Battery (electricity); Embedded system; Software; Internet of Things; Sleep mode; Power (physics); Mode (computer interface); Computer hardware; Real-time computing; Power consumption; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007756162,0.00046258,0.0003436265,0.0004881228,0.0003687153,0.0004680161,0.0007351983,0.0004095917,0.003922898],"category_scores_gemma":[0.0001271093,0.0001926539,0.0003694818,0.000656696,0.0002155238,0.0009631595,0.0004798622,0.0004554025,0.001171226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001652384,"about_ca_system_score_gemma":0.0001026895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002191826,"about_ca_topic_score_gemma":0.0004280583,"domain_scores_codex":[0.9998885,0.000007508967,0.000005134029,0.00002819406,0.00005661105,0.00001395875],"domain_scores_gemma":[0.9999439,0.00001144607,0.00000692033,0.00001393233,0.00001917487,0.000004634875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002012975,0.0001275011,0.0004602713,0.0003832768,0.00006806233,0.0005003798,0.0002072466,0.004790583,0.6365805,0.02215047,0.006800514,0.3277299],"study_design_scores_gemma":[0.00007544622,0.001101446,0.003893227,0.0001909468,0.0002203444,0.005898153,0.0002678341,0.2645612,0.5063651,0.02267066,0.194586,0.0001695885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05505729,0.004639055,0.9028539,0.0003888666,0.0005458422,0.0001374563,0.0001428645,0.00208637,0.03414829],"genre_scores_gemma":[0.6616449,0.003165809,0.2871682,0.0007211705,0.0002901118,0.0002169758,0.0002704196,0.0002709051,0.04625154],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003922898,"threshold_uncertainty_score":0.01312345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556005544400255,"score_gpt":0.2557028545856173,"score_spread":0.2401427991416147,"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."}}