{"id":"W2601153221","doi":"10.1038/s41598-018-25967-8","title":"Space-Wave Routing via Surface Waves Using a Metasurface System","year":2018,"lang":"en","type":"preprint","venue":"Scientific Reports","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Surface wave; Surface (topology); Physics; Optics; Space (punctuation); Beam (structure); Electromagnetic radiation; Routing (electronic design automation); Acoustics; Computer science; Electronic engineering; Engineering; Mathematics; Geometry","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":[0.0001082204,0.000313947,0.0002561385,0.0002122669,0.0001498854,0.0005938431,0.0004459426,0.000521346,0.001711131],"category_scores_gemma":[0.0001867028,0.000133733,0.0002377055,0.000210741,0.000293098,0.0005388359,0.0004638081,0.0003727887,0.0006874612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002298567,"about_ca_system_score_gemma":0.0001225419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001049905,"about_ca_topic_score_gemma":0.0001170339,"domain_scores_codex":[0.9999014,0.0000159281,0.00000530447,0.00001854697,0.00004320413,0.00001560055],"domain_scores_gemma":[0.9998772,0.00002906316,0.00002790899,0.00003299024,0.00002136967,0.00001154113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005741352,0.00002190663,0.0001187337,0.00005178975,0.00001080133,0.00008491425,0.00003970726,0.004686069,0.9707498,0.01344499,0.0002153875,0.01051863],"study_design_scores_gemma":[0.00006761857,0.0004272846,0.0004351245,0.00001746519,0.00002389556,0.0003665867,0.00005285691,0.1539616,0.8263,0.006563599,0.0117443,0.00003969041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5151277,0.001021922,0.4603294,0.0005401995,0.0002708459,0.00007752963,0.0001703219,0.001473674,0.02098835],"genre_scores_gemma":[0.8820356,0.0003096252,0.1135669,0.00007588929,0.00003614081,0.00003931006,0.00006866247,0.00008248961,0.003785318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001711131,"threshold_uncertainty_score":0.005724311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03447647005674752,"score_gpt":0.2368710073192747,"score_spread":0.2023945372625272,"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."}}