{"id":"W2040233738","doi":"10.1063/1.2192287","title":"Nanowire based quantum interference sensors for electromagnetic radiation","year":2006,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Quantum and electron transport phenomena","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Wuhan University of Technology; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Nanowire; Interference (communication); Quantum; Nanostructure; Quantum interference; Electromagnetic interference; Physics; Electron; Radiation; Electromagnetic radiation; Electromagnetic field; Phase (matter); Optoelectronics; Optics; Quantum mechanics; Computer science; Telecommunications","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":[0.0002220904,0.0002675606,0.0004054244,0.0002530813,0.0002527466,0.0003832026,0.0006332162,0.0006841127,0.000949005],"category_scores_gemma":[0.0004100449,0.0002078066,0.0002347367,0.0002271339,0.0003543289,0.0006846994,0.000365041,0.0003652858,0.0005885232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001980199,"about_ca_system_score_gemma":0.0001066202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009017457,"about_ca_topic_score_gemma":0.0002073458,"domain_scores_codex":[0.999727,0.00005436042,0.00001061341,0.00005021355,0.0001402385,0.00001760189],"domain_scores_gemma":[0.9998281,0.00005999811,0.00002766278,0.00002520734,0.00004839068,0.00001059354],"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":[0.00005839869,0.00004994766,0.0003325727,0.00008774803,0.00001101262,0.00007788857,0.00002882499,0.0008849008,0.9760217,0.009162248,0.0002568263,0.01302792],"study_design_scores_gemma":[0.00001425149,0.0002374771,0.0005424417,0.000009001516,0.00002599994,0.0003465644,0.00001518084,0.04648201,0.942632,0.002402461,0.007272013,0.00002070577],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2882688,0.003865435,0.6895164,0.0007097955,0.0004154419,0.0001622099,0.0002200444,0.001064189,0.01577771],"genre_scores_gemma":[0.6234541,0.002286224,0.369434,0.0002758524,0.00009830989,0.0001373911,0.0001495145,0.00006684259,0.004097789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.000949005,"threshold_uncertainty_score":0.003174722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006352586272086714,"score_gpt":0.2090771170758231,"score_spread":0.2027245308037364,"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."}}