{"id":"W2108260833","doi":"10.1109/mwp.2007.4378169","title":"Edge-Coupled Terahertz Photomixer Sources for On-Chip Sensing Applications","year":2007,"lang":"en","type":"article","venue":"","topic":"Terahertz technology and applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence","keywords":"Terahertz radiation; Materials science; Optoelectronics; Photomixing; Dielectric; Waveguide; Optics; Photocurrent; Laser; Terahertz spectroscopy and technology; Far-infrared laser; Electric field; Enhanced Data Rates for GSM Evolution; Terahertz metamaterials; Physics; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000114716,0.0002123562,0.0002530256,0.0001414122,0.0001340187,0.000283255,0.0002445029,0.0002210009,0.001028133],"category_scores_gemma":[0.0001989186,0.0001484218,0.0001109711,0.0001919835,0.0001118033,0.0004482942,0.0001899064,0.000210979,0.0002432725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002050605,"about_ca_system_score_gemma":0.0001246026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002682073,"about_ca_topic_score_gemma":0.0007840228,"domain_scores_codex":[0.9999344,0.000006395878,0.000001712467,0.00001073428,0.00003770016,0.000009077381],"domain_scores_gemma":[0.9998823,0.0000469513,0.00002771358,0.00001269916,0.000022822,0.000007470877],"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":[0.00003962747,0.00001686824,0.0001975762,0.0000384046,0.000004857072,0.00001954755,0.00001630801,0.0009070581,0.9935382,0.0004136435,0.00005142981,0.004756424],"study_design_scores_gemma":[0.000008873894,0.00009838495,0.001077042,0.000003139605,0.00001294014,0.0001096947,0.00001808266,0.02656497,0.9708151,0.0002659172,0.001020001,0.000005862445],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9383743,0.001241313,0.0561287,0.00009412583,0.00001884437,0.00002025148,0.0001023583,0.0003048665,0.003715147],"genre_scores_gemma":[0.9649457,0.000587731,0.03178966,0.00003062433,0.000009884349,0.00001345907,0.00008621352,0.0000288815,0.0025078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001028133,"threshold_uncertainty_score":0.003439426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00945003539977252,"score_gpt":0.2343946481490377,"score_spread":0.2249446127492651,"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."}}