{"id":"W2950747587","doi":"","title":"Interlaboratory Millimeter-Wave Channel Sounder Verification","year":2019,"lang":"en","type":"article","venue":"European Conference on Antennas and Propagation","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada; University of British Columbia","funders":"","keywords":"Channel (broadcasting); Computer science; Artifact (error); Metrology; NIST; Channel sounding; Measurement uncertainty; Remote sensing; Electronic engineering; Telecommunications; Engineering; MIMO; Artificial intelligence; Physics; Geology","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":[0.01877461,0.001092008,0.0008049672,0.001679828,0.002423886,0.002328311,0.003059153,0.001690767,0.01058431],"category_scores_gemma":[0.01952309,0.0003989635,0.000839758,0.001724219,0.001186005,0.001566414,0.004539097,0.001634204,0.00554494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002426241,"about_ca_system_score_gemma":0.006915081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002338119,"about_ca_topic_score_gemma":0.003489297,"domain_scores_codex":[0.970501,0.005881635,0.001386312,0.005525696,0.01468091,0.00202442],"domain_scores_gemma":[0.9622843,0.005063023,0.003242261,0.01408172,0.01414772,0.001181038],"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":[0.002607614,0.001527739,0.09404056,0.0008287714,0.0003067227,0.0006622739,0.002729475,0.01025262,0.5223536,0.0173623,0.03041516,0.3169131],"study_design_scores_gemma":[0.0003014245,0.002942288,0.03795029,0.0001571037,0.0002142189,0.0009824726,0.0009565211,0.02357856,0.7936592,0.004765582,0.1342888,0.0002036063],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2827036,0.000644798,0.6389903,0.001414157,0.001267172,0.002508496,0.00604429,0.01235783,0.05406931],"genre_scores_gemma":[0.767276,0.0002130873,0.1996229,0.001056979,0.000236961,0.002419329,0.006268801,0.001844484,0.02106142],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01877461,"threshold_uncertainty_score":0.09929085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03948702323031617,"score_gpt":0.2149197959862443,"score_spread":0.1754327727559282,"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."}}