{"id":"W2909897466","doi":"10.22215/etd/2018-12862","title":"A Miniaturized Delay-Line Discriminator","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Terahertz technology and applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Discriminator; Electronic engineering; Transmission line; Electronic circuit; Modulation (music); Line (geometry); Computer science; Electronic warfare; Electrical engineering; Engineering; Telecommunications; Physics; 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":[0.0002558754,0.000342306,0.0003449597,0.0004535159,0.000265021,0.0006465467,0.001295394,0.0004897369,0.00304509],"category_scores_gemma":[0.0004753078,0.0002993117,0.0002183393,0.0003101294,0.0003015697,0.0007328759,0.0004988553,0.0005398726,0.001030292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000602171,"about_ca_system_score_gemma":0.000449375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002018739,"about_ca_topic_score_gemma":0.00039219,"domain_scores_codex":[0.9996666,0.00003011253,0.00001508744,0.0001024144,0.000150349,0.00003544178],"domain_scores_gemma":[0.9997614,0.0000605497,0.00004540788,0.00003193333,0.00007496361,0.00002571692],"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":[0.0001492801,0.00005091615,0.0006572534,0.0002178824,0.00002014552,0.0001806035,0.00011893,0.004451043,0.8976645,0.008989974,0.001848293,0.08565116],"study_design_scores_gemma":[0.00007703348,0.000845001,0.001119576,0.00005787733,0.00005986817,0.001227088,0.00005708358,0.04764991,0.8309528,0.001211775,0.116657,0.00008507644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1848883,0.003944245,0.7715526,0.000879446,0.0009015898,0.0005756113,0.0006366578,0.002490203,0.03413134],"genre_scores_gemma":[0.5527716,0.001221176,0.4241237,0.0004941136,0.0001705167,0.0002837978,0.000344532,0.0001012886,0.02048931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00304509,"threshold_uncertainty_score":0.01018679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007127315052308594,"score_gpt":0.2432309413667452,"score_spread":0.2361036263144366,"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."}}