{"id":"W2509326446","doi":"10.1109/antem.2016.7550245","title":"Screen printing RF antennas","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Fabrication; Screen printing; Radio frequency; Computer science; Directional antenna; Electrical engineering; Reflective array antenna; Electronic engineering; Engineering; Slot antenna; Materials science; Antenna (radio)","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":[],"consensus_categories":[],"category_scores_codex":[0.00004156968,0.00007372507,0.00008056097,0.00003666371,0.00001832712,0.000005384062,0.0001016167,0.0000371459,0.0000669811],"category_scores_gemma":[0.00004701835,0.00004211182,0.00002572255,0.00006807294,0.00003103519,0.0001123693,0.0000320059,0.00003948978,0.000183203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001288046,"about_ca_system_score_gemma":0.000001689887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001619468,"about_ca_topic_score_gemma":0.000003966822,"domain_scores_codex":[0.9995957,0.000001518348,0.00008396152,0.00008450246,0.00004684819,0.0001874624],"domain_scores_gemma":[0.9997751,0.00002289084,0.00000794365,0.0001576379,0.00001381972,0.00002266095],"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":[9.993854e-7,0.000002931916,0.001780465,0.000006640305,0.00001346182,0.000003874595,0.000008093732,0.00006183092,0.8142427,0.005156696,0.0004076756,0.1783146],"study_design_scores_gemma":[0.0005920548,0.0000358583,0.00789601,0.0001426199,0.00001068489,0.00001465905,0.0002801923,0.002048656,0.8909293,0.006960834,0.09055455,0.0005345452],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4627377,0.000339675,0.5003682,0.0004194691,0.0001738729,0.00008268874,0.000003216279,0.004569681,0.03130547],"genre_scores_gemma":[0.9841992,0.0001827671,0.01376129,0.0000173931,0.00001642766,0.000003196777,1.832034e-7,0.00001512298,0.001804411],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5214615,"threshold_uncertainty_score":0.2354765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01461525174742044,"score_gpt":0.2186646938005193,"score_spread":0.2040494420530989,"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."}}