{"id":"W3159396673","doi":"10.1016/j.egyr.2020.12.026","title":"A long-distance high-power microwave wireless power transmission system based on asymmetrical resonant magnetron and cyclotron-wave rectifier","year":2020,"lang":"en","type":"article","venue":"Energy Reports","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Rectifier (neural networks); Electrical engineering; Microwave transmission; Power transmission; Rectenna; Microwave; Wireless power transfer; Energy conversion efficiency; Power (physics); Cavity magnetron; Electric power transmission; Wave power; Engineering; Physics; Telecommunications; Voltage; Computer science; Electromagnetic coil","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002402961,0.0004856244,0.0005568645,0.0001577566,0.0001209798,0.0000906947,0.0001248069,0.0003511603,0.00004553378],"category_scores_gemma":[0.00006366177,0.0004616563,0.0001260419,0.0006106907,0.00007114843,0.0001095004,0.00004157219,0.0004618942,0.000003628968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002327898,"about_ca_system_score_gemma":0.00004868767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006359421,"about_ca_topic_score_gemma":0.00002602245,"domain_scores_codex":[0.9971997,0.0001113273,0.0007334435,0.000838322,0.0005256881,0.0005915489],"domain_scores_gemma":[0.9985211,0.0002014264,0.00017663,0.0005657722,0.00006983403,0.0004652507],"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":[0.0009360042,0.0003267213,0.0037127,0.001022135,0.00031357,0.02845189,0.0006254688,0.7735866,0.02341112,0.01064533,0.0191074,0.1378611],"study_design_scores_gemma":[0.002017321,0.001234426,0.0132789,0.002191878,0.0001481202,0.001222132,0.00009169408,0.7945211,0.04844511,0.00007184594,0.1341797,0.00259781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4229679,0.004261866,0.5479664,0.0005748239,0.002406268,0.0003301556,0.00001366347,0.002237312,0.01924159],"genre_scores_gemma":[0.9959436,0.00006477036,0.002910469,0.0002227506,0.0002288969,0.00004323261,0.00003954405,0.0001722962,0.000374435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5729757,"threshold_uncertainty_score":0.9997835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006391839388798482,"score_gpt":0.1706712471280054,"score_spread":0.1642794077392069,"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."}}