{"id":"W1639995041","doi":"10.1109/icwc.1992.200712","title":"High-resolution spectral analysis techniques for estimating the impulse response of indoor radio channels","year":2003,"lang":"en","type":"article","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Channel (broadcasting); Computer science; Principal component analysis; Impulse (physics); Spectral analysis; Impulse response; Impulse radio; Algorithm; Artificial intelligence; Telecommunications; Mathematics; Physics","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":[0.0005922593,0.0009249507,0.0004124994,0.001712485,0.0003617426,0.0007799081,0.0006869137,0.0008453489,0.002430169],"category_scores_gemma":[0.002534036,0.0003926415,0.0007262196,0.001502413,0.0005320936,0.00137786,0.000538694,0.001068453,0.001624135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002371107,"about_ca_system_score_gemma":0.0003555588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009449697,"about_ca_topic_score_gemma":0.001347592,"domain_scores_codex":[0.9994104,0.0001422658,0.0000247195,0.00006566405,0.0003260813,0.00003093298],"domain_scores_gemma":[0.9988329,0.0005793657,0.0001288858,0.0001736503,0.0002629517,0.00002238572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001263017,0.000119344,0.001299302,0.0004269439,0.0001904077,0.0002483261,0.0003422783,0.1459309,0.1223499,0.03571673,0.004940771,0.6883088],"study_design_scores_gemma":[0.00002520667,0.0001434846,0.002129831,0.00006549245,0.00009618195,0.0008057545,0.0001176605,0.8915974,0.06636829,0.01908163,0.01946314,0.0001058722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001311263,0.0001379257,0.9977851,0.00002406818,0.00002293492,0.000008430263,0.0000146655,0.000188538,0.0005070839],"genre_scores_gemma":[0.04958934,0.0007438688,0.9470528,0.0000585461,0.0001250671,0.00008096901,0.0001303767,0.00009058082,0.002128396],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002430169,"threshold_uncertainty_score":0.008129716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01744436766397947,"score_gpt":0.2468093792378177,"score_spread":0.2293650115738383,"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."}}