{"id":"W4366605552","doi":"10.1021/acsphotonics.3c00310","title":"Extended-SWIR GeSn LEDs with Reduced Footprint and Efficient Operation Power","year":2023,"lang":"en","type":"article","venue":"ACS Photonics","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Army Research Office; Mitacs; Ministry of Education - Singapore; Canada Foundation for Innovation; National Research Foundation Singapore; Natural Sciences and Engineering Research Council of Canada; European Commission; Canada Research Chairs; Agence Nationale de la Recherche; Agency for Science, Technology and Research; Government of Canada","keywords":"Materials science; Optoelectronics; Light-emitting diode; Electroluminescence; Silicon; Silicon photonics; Photonics; Common emitter; Electronic circuit; Footprint; Semiconductor; Nanotechnology; Electrical engineering","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":[0.0001463937,0.0001490919,0.0001452513,0.00006454108,0.00007171209,0.00006663284,0.0001073849,0.000081017,0.00002627106],"category_scores_gemma":[0.0000146906,0.0001224936,0.00002312149,0.000225922,0.00004218925,0.00004556299,0.00005772024,0.0001629462,0.00008370932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004817673,"about_ca_system_score_gemma":0.00002790789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007605321,"about_ca_topic_score_gemma":0.00001176094,"domain_scores_codex":[0.9991605,0.000009247206,0.0001523902,0.0002140456,0.0001750314,0.0002888233],"domain_scores_gemma":[0.9995756,0.00004038242,0.00001524662,0.0002381757,0.00003092262,0.00009973234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002037805,0.0002737143,0.001107163,0.0005364559,0.0005294472,0.0002808798,0.006449133,0.448633,0.4758775,0.0513174,0.0009362445,0.01385525],"study_design_scores_gemma":[0.0009237719,0.0002258219,0.04041102,0.00007271695,0.00004076913,0.0000432169,0.0003217044,0.7931708,0.1533702,0.0002200671,0.01061219,0.000587663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882916,0.0002691498,0.0001785187,0.00006852981,0.0001837744,0.0002063101,0.000005007087,0.0004255844,0.01037149],"genre_scores_gemma":[0.9989299,0.0002436584,0.0005454312,0.00005426798,0.00001161501,0.0000356334,0.00001000563,0.00003428036,0.0001351944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3445378,"threshold_uncertainty_score":0.4995146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007491138202572432,"score_gpt":0.2150562684641079,"score_spread":0.2075651302615354,"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."}}