{"id":"W4205788710","doi":"10.3390/en15010320","title":"Design and Analysis of a 35 GHz Rectenna System for Wireless Power Transfer to an Unmanned Air Vehicle","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Rectenna; Directivity; Microwave; Electrical engineering; Microstrip; Maximum power transfer theorem; Microstrip antenna; Antenna (radio); Microwave transmission; Power (physics); Antenna gain; Wireless power transfer; Radio frequency; Energy conversion efficiency; Engineering; Voltage; Electronic engineering; Antenna efficiency; Physics; Telecommunications; Rectification","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010332,0.0002345832,0.0002237954,0.0001270795,0.0001636111,0.00032742,0.000332192,0.000274707,0.001894151],"category_scores_gemma":[0.0001076636,0.0001131637,0.0002747414,0.0001075094,0.0001301474,0.0003171832,0.0001564401,0.000146714,0.0006723516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003110476,"about_ca_system_score_gemma":0.0002981235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005117484,"about_ca_topic_score_gemma":0.0006528234,"domain_scores_codex":[0.9999026,0.00001368792,0.000004454378,0.00002492816,0.0000431768,0.00001121103],"domain_scores_gemma":[0.9999626,0.000006134204,0.00001009444,0.000005522693,0.0000121204,0.000003529929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001995434,0.00005173527,0.001814974,0.0004956458,0.0000908515,0.0005798449,0.0003036151,0.1684815,0.7278818,0.01392454,0.001766458,0.08440955],"study_design_scores_gemma":[0.00003657925,0.001135446,0.003829366,0.00004066557,0.00009508526,0.0008377391,0.0001828356,0.7475153,0.1912685,0.002054849,0.05295438,0.00004931462],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2539054,0.001372754,0.7139556,0.0004087726,0.0001366274,0.0002352704,0.0001910438,0.0008142014,0.02898036],"genre_scores_gemma":[0.9256395,0.0004243453,0.06480021,0.00005288539,0.00002028858,0.000117035,0.000103948,0.00003131924,0.008810454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001894151,"threshold_uncertainty_score":0.00633657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110993935855507,"score_gpt":0.2058512710849824,"score_spread":0.1947413317264274,"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."}}