{"id":"W2103131041","doi":"10.1109/apmc.1999.833661","title":"Receiving cross section of an active waveguide array element","year":2003,"lang":"en","type":"article","venue":"","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of National Defence","funders":"","keywords":"Waveguide; Element (criminal law); Cross section (physics); Aperture (computer memory); Scattering; Optics; Matrix (chemical analysis); Section (typography); Matching (statistics); Materials science; Physics; Computer science; Acoustics; Mathematics","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":[0.000160995,0.0002852679,0.0001792871,0.0001580732,0.0001576488,0.000336071,0.0003126429,0.0002985886,0.002068794],"category_scores_gemma":[0.0002863063,0.0001998209,0.0002335014,0.00008544992,0.000244179,0.0004504766,0.0001862941,0.0001911718,0.0007285255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002850917,"about_ca_system_score_gemma":0.0002605268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004395007,"about_ca_topic_score_gemma":0.0003310084,"domain_scores_codex":[0.9999073,0.0000105748,0.00000306883,0.00002317525,0.00004259147,0.00001336649],"domain_scores_gemma":[0.9998559,0.00005905245,0.00001757343,0.00001991752,0.00004009782,0.000007599594],"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":[0.0001076703,0.00003309551,0.002371388,0.00006096945,0.00004096825,0.0001673432,0.0000929712,0.31595,0.6409294,0.01605905,0.0002656436,0.02392161],"study_design_scores_gemma":[0.000007649086,0.0000933519,0.002037164,0.000006913927,0.00002506509,0.0002600181,0.0000343618,0.6847427,0.3084475,0.001960081,0.002368463,0.00001680032],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3619738,0.0001204913,0.622109,0.00005250386,0.00001894215,0.00001940819,0.0001173878,0.0006492886,0.01493923],"genre_scores_gemma":[0.9447877,0.0001076117,0.04747586,0.00002816796,0.00000979495,0.00002574554,0.0001471258,0.00008142356,0.007336593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002068794,"threshold_uncertainty_score":0.006920755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009265310536933014,"score_gpt":0.2320679000020631,"score_spread":0.2228025894651301,"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."}}