{"id":"W4313556153","doi":"10.1109/cama56352.2022.10002671","title":"CAMA 2022 Cover Page","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Conference on Antenna Measurements and Applications (CAMA)","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Jiangsu Province; National Natural Science Foundation of China; Royal Society; Royal Society of Canada; Ministry of Education of the People's Republic of China; National Science Foundation","keywords":"Rectenna; Microstrip; Wireless power transfer; Microwave; Cover (algebra); Microstrip antenna; Electrical engineering; Computer science; Maximum power transfer theorem; Power (physics); Antenna (radio); Electronic engineering; Wireless; Engineering; Telecommunications; Physics; Mechanical engineering; Rectification","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002967677,0.0008852434,0.0006359908,0.001303182,0.001281105,0.003160288,0.0008493602,0.001512772,0.7775394],"category_scores_gemma":[0.00076714,0.0003740665,0.0005062172,0.001252539,0.000266519,0.001519375,0.0009824904,0.001504106,0.6769333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008403671,"about_ca_system_score_gemma":0.0005930252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001455067,"about_ca_topic_score_gemma":0.003391184,"domain_scores_codex":[0.9997341,0.00001804616,0.000007793464,0.00006190699,0.0001417356,0.00003645737],"domain_scores_gemma":[0.9995207,0.00005100442,0.00002023442,0.000080591,0.0002142408,0.0001132121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005139537,0.00002271136,0.00008997349,0.00009086112,0.000003319279,0.00007191196,0.00001534168,0.00005803405,0.002384731,0.002846062,0.9172472,0.07711852],"study_design_scores_gemma":[0.000004547928,0.00001588737,0.0003249266,0.00003520342,0.00000173127,0.00006321732,0.00001439751,0.0001586392,0.0004275409,0.0004751887,0.998475,0.000003691094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006044948,0.001554405,0.001725454,0.0009905819,0.005076797,0.00009457351,0.00166717,0.001636631,0.98665],"genre_scores_gemma":[0.002138262,0.000740943,0.000676019,0.0003582628,0.0006632077,0.00004801894,0.001560204,0.0003192858,0.9934957],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2224606,"threshold_uncertainty_score":0.3173131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0456851684616181,"score_gpt":0.241438441996441,"score_spread":0.1957532735348229,"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."}}