{"id":"W2127464584","doi":"10.1109/mwsym.2008.4632955","title":"CRLH leaky-wave real-time spectrum analyzer (RTSA) with unrestricted time-frequency resolution","year":2008,"lang":"en","type":"article","venue":"","topic":"Acoustic Wave Resonator Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Spectrogram; Spectrum analyzer; Broadband; Time–frequency analysis; Computer science; Scalability; Electronic engineering; Property (philosophy); Acoustics; Physics; Telecommunications; Engineering; Speech recognition; Radar","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":[0.0008397875,0.0006856629,0.000647158,0.0007556108,0.0002807022,0.0008062042,0.0009542375,0.0006513685,0.004079579],"category_scores_gemma":[0.001016293,0.0004624449,0.000257762,0.000486403,0.0004644155,0.001146137,0.000527251,0.0008413502,0.001370658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002813659,"about_ca_system_score_gemma":0.0003918925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001867044,"about_ca_topic_score_gemma":0.0005368886,"domain_scores_codex":[0.9992511,0.0001294595,0.00004329793,0.0001901538,0.0003445954,0.00004149123],"domain_scores_gemma":[0.9988809,0.0004460126,0.0001950273,0.0001754569,0.0002175484,0.00008496857],"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":[0.0002883744,0.00004852309,0.0004200291,0.000144676,0.00002262112,0.0001237302,0.00008765699,0.000434214,0.9544415,0.003667798,0.001039002,0.03928165],"study_design_scores_gemma":[0.0001353234,0.0005638378,0.001236955,0.00001806945,0.00006154687,0.001757602,0.00007548751,0.0628833,0.9135786,0.001537602,0.01805693,0.00009472771],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1224817,0.0005556573,0.8625116,0.0002520788,0.0002804075,0.0002312369,0.0004880647,0.007441531,0.005757706],"genre_scores_gemma":[0.3217649,0.0002820304,0.6715019,0.0001439362,0.00008606464,0.0002875941,0.0002993677,0.0003693838,0.00526469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004079579,"threshold_uncertainty_score":0.01364756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01177974740367284,"score_gpt":0.1856030762632757,"score_spread":0.1738233288596029,"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."}}