{"id":"W2647610978","doi":"10.82308/31957","title":"Enhancement of printed inductors using artificial magnetic conductor (AMC) surfaces for millimeter-wave applications","year":2009,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Inductor; Electrical engineering; Inductance; Engineering; Conductor; Electronic engineering; Physics; Computer science; Materials science; Voltage","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":[],"consensus_categories":[],"category_scores_codex":[0.0002911559,0.0002945617,0.000215843,0.0002674841,0.00009431635,0.0006598617,0.0003256872,0.0003766377,0.0006482519],"category_scores_gemma":[0.0009789225,0.0001525346,0.0002117357,0.000235065,0.0003776604,0.0004646467,0.0003110096,0.0002197993,0.0003682596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002990869,"about_ca_system_score_gemma":0.00009145885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007611097,"about_ca_topic_score_gemma":0.000123157,"domain_scores_codex":[0.9997501,0.00006952487,0.00001267883,0.00003302448,0.0001072217,0.00002743369],"domain_scores_gemma":[0.9993462,0.0002260461,0.0001464529,0.00009419033,0.0001622673,0.00002484214],"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":[0.00006589466,0.00002472372,0.0003183549,0.00007271751,0.000006292802,0.0001162849,0.00005863196,0.001655429,0.9844567,0.001100359,0.0002767823,0.01184783],"study_design_scores_gemma":[0.00003555029,0.0003030822,0.0009338778,0.000007725943,0.00001685118,0.0003625498,0.00003401403,0.01941224,0.9720333,0.0003211733,0.006523535,0.00001611663],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8277993,0.001160732,0.1537429,0.0004479699,0.0001923601,0.00004451159,0.00005044214,0.001256728,0.01530511],"genre_scores_gemma":[0.9504057,0.0002101308,0.04737957,0.00006662621,0.00004436397,0.00001376913,0.00002462522,0.00005389693,0.001801193],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0006598617,"threshold_uncertainty_score":0.002169967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04876570693817429,"score_gpt":0.2576330758906051,"score_spread":0.2088673689524309,"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."}}