{"id":"W4362675662","doi":"","title":"Chipless Substrate Integrated Waveguide Tag for Millimeter Wave Identification","year":2015,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Extremely high frequency; Identification (biology); Substrate (aquarium); Millimeter; Waveguide; Chipless RFID; Computer science; Optoelectronics; Materials science; Optics; Physics; Telecommunications; Geology; Resonator","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":[0.0002313961,0.0004274992,0.0003214212,0.0002625898,0.0002220079,0.0007848794,0.0007985191,0.0007773812,0.00315874],"category_scores_gemma":[0.0003455583,0.000208656,0.0002037993,0.0003952975,0.0002500561,0.0008634717,0.0004260275,0.0003915101,0.002631576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003202946,"about_ca_system_score_gemma":0.0003496821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003588292,"about_ca_topic_score_gemma":0.001270898,"domain_scores_codex":[0.9997727,0.00003634332,0.00001167524,0.00005671505,0.00009201706,0.00003055579],"domain_scores_gemma":[0.9996206,0.00006781984,0.00004192769,0.00008568393,0.0001643072,0.00001963689],"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":[0.0003049001,0.00008658358,0.001183163,0.0001429222,0.00004535368,0.0002094553,0.00006067362,0.001174853,0.9329112,0.003898971,0.003511538,0.05647028],"study_design_scores_gemma":[0.00003883183,0.0006531553,0.003221946,0.00003359214,0.0000908509,0.0009104921,0.00009690184,0.0629604,0.8995858,0.0008105348,0.03156012,0.00003740316],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4113187,0.003975193,0.5373341,0.0009791068,0.002167289,0.0001803843,0.0006604863,0.003135291,0.04024946],"genre_scores_gemma":[0.8165176,0.0008653427,0.1234639,0.0005147931,0.0001947997,0.00006359687,0.0005764329,0.0001318966,0.05767171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00315874,"threshold_uncertainty_score":0.01056707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02225884482163331,"score_gpt":0.2126851997970401,"score_spread":0.1904263549754067,"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."}}