{"id":"W2778278155","doi":"10.1109/tcomm.2017.2787568","title":"Joint Optimal Mode Switching and Power Adaptation for Nonlinear Energy Harvesting SWIPT System Over Fading Channel","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; National Research Foundation of Korea","keywords":"Maximum power transfer theorem; Fading; Transmitter; Energy harvesting; Channel (broadcasting); Nonlinear system; Computer science; Electronic engineering; Transmitter power output; Power (physics); Control theory (sociology); Wireless; Energy (signal processing); Decoding methods; Engineering; Telecommunications; Mathematics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0002186324,0.0002350675,0.0002394457,0.0001486047,0.001888624,0.0002829636,0.0005804392,0.0001462717,0.000002328548],"category_scores_gemma":[0.00002540899,0.000273908,0.0001004623,0.00008038047,0.00008389995,0.0005274158,0.00001268219,0.0003729432,0.00000257719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001439725,"about_ca_system_score_gemma":0.00002582293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003797578,"about_ca_topic_score_gemma":0.0007864079,"domain_scores_codex":[0.9989064,0.00005158148,0.0003785853,0.0002375079,0.0001293136,0.0002965837],"domain_scores_gemma":[0.9977741,0.0003472707,0.0001481082,0.001525684,0.00009280563,0.0001120206],"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":[0.000007461506,0.00003602098,0.000002865934,0.00005215362,0.00007384001,6.125468e-7,0.0005780185,0.9861284,0.002352144,0.001922076,0.00002288668,0.00882348],"study_design_scores_gemma":[0.0003973322,0.00003147925,0.00006767323,0.0003963268,0.00005327804,0.00001273786,0.0002719273,0.9949077,0.002982125,0.00005189237,0.0005594049,0.0002680893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02175634,0.0001835502,0.9750829,0.0001485216,0.0005552528,0.0001859036,0.00006606174,0.0005425053,0.001478953],"genre_scores_gemma":[0.9424742,0.0002134613,0.05670514,0.0000215399,0.00007281491,0.0002600799,0.0000187535,0.00008883163,0.0001452155],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9207178,"threshold_uncertainty_score":0.9999713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04078802545739735,"score_gpt":0.2628997440097425,"score_spread":0.2221117185523451,"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."}}