{"id":"W4386249029","doi":"10.1109/iws58240.2023.10223190","title":"Multi-Transmitter Coils Optimization for Range-Adaptive Wireless Power Transfer by Using Genetic Algorithm","year":2023,"lang":"en","type":"article","venue":"","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Transmitter; Wireless power transfer; Electromagnetic coil; Offset (computer science); Maximum power transfer theorem; Computer science; Genetic algorithm; Range (aeronautics); Wireless; Electrical engineering; Power (physics); Electronic engineering; Algorithm; Engineering; Telecommunications; Physics; Channel (broadcasting)","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":[0.0003353415,0.0006175063,0.0004934523,0.0004869502,0.0002673222,0.0004132383,0.0005016243,0.0006331933,0.001061081],"category_scores_gemma":[0.0006379326,0.0002955297,0.0005113975,0.0004152399,0.0003426748,0.0003792947,0.0004123313,0.0003512992,0.0002185978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003654911,"about_ca_system_score_gemma":0.0004252622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009871027,"about_ca_topic_score_gemma":0.001089532,"domain_scores_codex":[0.999841,0.0000461805,0.000006111574,0.000033,0.0000538897,0.00001983832],"domain_scores_gemma":[0.9998438,0.0000713491,0.00002941927,0.000009494895,0.00003921045,0.000006680544],"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":[0.0000378437,0.00003606125,0.0003591157,0.00006329242,0.00003261385,0.00006010705,0.00005265162,0.9351341,0.01441438,0.0023834,0.0002875637,0.04713889],"study_design_scores_gemma":[0.00001032169,0.00005743645,0.0001392714,0.000006035064,0.00001400452,0.0000315161,0.000009222756,0.9957055,0.002531813,0.0008066859,0.0006823292,0.000005784364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02701846,0.0002374843,0.9693374,0.0000601571,0.00002384806,0.00003800674,0.000008787663,0.0001718967,0.00310403],"genre_scores_gemma":[0.7151016,0.0002711621,0.2812313,0.00005866399,0.00002182688,0.0001968506,0.00003486123,0.00005915049,0.003024545],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001061081,"threshold_uncertainty_score":0.003549695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01924753475278883,"score_gpt":0.2287053480329263,"score_spread":0.2094578132801375,"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."}}