{"id":"W2165186423","doi":"10.1063/1.3702571","title":"A phonon scattering assisted injection and extraction based terahertz quantum cascade laser","year":2012,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Institute for Microstructural Sciences","funders":"Natural Sciences and Engineering Research Council of Canada; Technische Universität München; CMC Microsystems","keywords":"Lasing threshold; Terahertz radiation; Cascade; Phonon; Optoelectronics; Rate equation; Laser; Quantum cascade laser; Materials science; Population inversion; Scattering; Phonon scattering; Photonics; Physics; Optics; Condensed matter physics; Quantum mechanics; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001238049,0.0001210701,0.000160155,0.00003792324,0.0001065373,0.00003896845,0.00006866109,0.00007803731,0.0001065171],"category_scores_gemma":[0.000003809438,0.0001141487,0.00006577451,0.0001155567,0.00003002062,0.0002307199,0.00001295277,0.000315579,0.000009719281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009663363,"about_ca_system_score_gemma":0.00003139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008822115,"about_ca_topic_score_gemma":0.00000115892,"domain_scores_codex":[0.9992991,0.000007006512,0.0002540691,0.00009752624,0.0001643426,0.0001779601],"domain_scores_gemma":[0.9993302,0.00006200136,0.0003212104,0.0001351404,0.00004186654,0.0001096109],"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":[0.000139024,0.0002630688,0.001108215,0.00005140261,0.00004258705,8.800486e-7,0.0002269223,0.0007936738,0.9870163,0.0002367934,0.0003364433,0.009784678],"study_design_scores_gemma":[0.0007321269,0.00002824236,0.005590457,0.00004363925,0.0001093923,0.00007624625,0.0002469099,0.0052818,0.9806676,0.0005819899,0.006465425,0.0001761803],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879008,0.0000476964,0.007559272,0.00003744764,0.0001079041,0.0000429809,0.000004418922,0.00002537284,0.004274118],"genre_scores_gemma":[0.9979241,0.00001015341,0.0009585386,0.0000917878,0.0009445986,0.00001313746,0.000007174415,0.00002101266,0.00002943061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01002338,"threshold_uncertainty_score":0.4654851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664686432346514,"score_gpt":0.273603012356478,"score_spread":0.2569561480330129,"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."}}