{"id":"W4390741104","doi":"10.1515/nanoph-2023-0687","title":"Modeling with graded interfaces: Tool for understanding and designing record‐high power and efficiency mid‐infrared quantum cascade lasers","year":2024,"lang":"en","type":"article","venue":"Nanophotonics","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"Naval Air Systems Command; National Institute of Environmental Health Sciences; U.S. Navy; University of Wisconsin-Madison","keywords":"Cascade; Optoelectronics; Nanomaterials; Infrared; Quantum; Laser; Materials science; Quantum cascade laser; Power (physics); Computer science; Nanotechnology; Optics; Physics; Engineering","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":[0.0002381047,0.0005183897,0.0002983084,0.0002649015,0.0001806546,0.0006227197,0.001172414,0.0007362696,0.0006941067],"category_scores_gemma":[0.0004036522,0.0002828551,0.0005826623,0.0001566582,0.0003019227,0.0006499301,0.0003480364,0.0004766738,0.0002255245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007268289,"about_ca_system_score_gemma":0.000638738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005284918,"about_ca_topic_score_gemma":0.004935018,"domain_scores_codex":[0.9999162,0.00001262722,0.000005175313,0.00001172335,0.00003742808,0.00001694363],"domain_scores_gemma":[0.9999014,0.00002661169,0.00001788728,0.00002262674,0.0000254475,0.000006065375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002279434,0.00007240933,0.001286119,0.00007215558,0.0000246922,0.0001198717,0.00006366851,0.904864,0.07290388,0.01422266,0.000198869,0.006148909],"study_design_scores_gemma":[0.000003038296,0.000007386515,0.0000923735,0.000002801461,0.000003504997,0.000006281697,0.000007054691,0.9955682,0.002889812,0.001050178,0.0003654737,0.000003898453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2069373,0.0002489017,0.7860372,0.0001678007,0.00003296904,0.00009436493,0.0002851326,0.0006030438,0.005593193],"genre_scores_gemma":[0.8526596,0.0002447786,0.1450597,0.00005241702,0.00000927087,0.0001656652,0.0001521978,0.0001457377,0.001510721],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005284918,"threshold_uncertainty_score":0.0105083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.023294711973271,"score_gpt":0.2593071907340072,"score_spread":0.2360124787607362,"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."}}