{"id":"W2972917489","doi":"10.1109/lwc.2019.2940942","title":"Contract Design for Time Resource Assignment and Pricing in Backscatter-Assisted RF-Powered Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"National Natural Science Foundation of China; Ministry of Education - Singapore","keywords":"Computer science; Gateway (web page); Default gateway; Incentive; Profit (economics); Computer network; Transmitter; Backscatter (email); Telecommunications; Operations research; Wireless; Economics; Microeconomics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00628972,0.000953713,0.001191555,0.0006442705,0.00113249,0.002088273,0.002064744,0.001893266,0.00432728],"category_scores_gemma":[0.01208768,0.0006151789,0.0007092705,0.001106323,0.002403852,0.003349467,0.001970798,0.002345173,0.0005233695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002499842,"about_ca_system_score_gemma":0.003092673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001635203,"about_ca_topic_score_gemma":0.001279887,"domain_scores_codex":[0.9955042,0.002426014,0.0002248608,0.0005354766,0.0008297928,0.0004797242],"domain_scores_gemma":[0.9948296,0.003226306,0.0005903235,0.0003847236,0.000573418,0.0003955958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002333208,0.0001682274,0.0006258935,0.0001377795,0.00004226254,0.0003076825,0.0003157466,0.4846756,0.004194904,0.4674044,0.00206842,0.0398257],"study_design_scores_gemma":[0.0000360984,0.00007295424,0.00008105327,0.00001541872,0.000009482437,0.00007476012,0.00004204507,0.9220787,0.0006271625,0.07519039,0.001751209,0.00002075647],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01428069,0.0001769345,0.9807036,0.00031933,0.00005256581,0.0001493873,0.00003985039,0.00005051831,0.00422711],"genre_scores_gemma":[0.7961003,0.0004842673,0.1965016,0.0001935645,0.00008662015,0.0004468717,0.00006840694,0.00005806722,0.00606023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00628972,"threshold_uncertainty_score":0.03326362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01718059562579201,"score_gpt":0.224178887731101,"score_spread":0.2069982921053089,"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."}}