{"id":"W2760443067","doi":"","title":"A lightweight and low-cost 3D printed waveguide for medium power applications","year":2017,"lang":"en","type":"article","venue":"2017 International Applied Computational Electromagnetics Society Symposium (ACES)","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Coaxial; Materials science; Waveguide; Epoxy; Coating; Adapter (computing); Conductor; Optoelectronics; Electrical conductor; Optics; Electrical engineering; Composite material; Engineering; Physics","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":[0.0001170605,0.0005676862,0.0003075284,0.0003732737,0.000181969,0.0005137392,0.0009103909,0.0006770826,0.002533176],"category_scores_gemma":[0.0002012652,0.0003181054,0.000464683,0.0003673186,0.0002125434,0.0004841988,0.0003807355,0.000562132,0.002032215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002252434,"about_ca_system_score_gemma":0.0002402827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001620583,"about_ca_topic_score_gemma":0.0003695069,"domain_scores_codex":[0.9998247,0.00001272982,0.000006379618,0.00002715293,0.0001121732,0.00001685988],"domain_scores_gemma":[0.9998168,0.00002944744,0.00004466683,0.00004839161,0.00004144209,0.00001920323],"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":[0.0000631042,0.00005258022,0.0004143496,0.0002303056,0.00002498457,0.0003475833,0.00004323588,0.003887997,0.9324971,0.00427325,0.002862839,0.05530264],"study_design_scores_gemma":[0.00003543038,0.0005044058,0.001803761,0.00004300864,0.00004506063,0.002044252,0.00003189195,0.06212422,0.860963,0.001863347,0.07046558,0.00007599057],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1051469,0.001657998,0.8695579,0.000263148,0.0004518067,0.0001042386,0.0005463588,0.004543818,0.0177277],"genre_scores_gemma":[0.4237864,0.001272112,0.5514866,0.0002005732,0.0001373221,0.0002020815,0.0006109538,0.0004618609,0.02184216],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002533176,"threshold_uncertainty_score":0.00847429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006170876602007054,"score_gpt":0.227986362654861,"score_spread":0.221815486052854,"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."}}