{"id":"W2051492646","doi":"10.1155/2008/786939","title":"Differential Gain in InGaAsN/GaAs Double Quantum Well Structures by Numerical Simulations","year":2008,"lang":"en","type":"article","venue":"Physics Research International","topic":"Semiconductor Quantum Structures and Devices","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quantum well; Differential gain; Hamiltonian (control theory); Materials science; Differential (mechanical device); Differential equation; Nitrogen; Electronic band structure; Physics; Condensed matter physics; Quantum mechanics; Mathematics; Thermodynamics","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":[0.0005711485,0.0004069969,0.0006318342,0.0004129621,0.000633019,0.0006712644,0.0008911739,0.0009588763,0.001540416],"category_scores_gemma":[0.001628372,0.0004188989,0.0004061563,0.0005580811,0.0008502403,0.0005333313,0.0004419226,0.0005030871,0.0001426012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001962313,"about_ca_system_score_gemma":0.001169253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01699106,"about_ca_topic_score_gemma":0.01147282,"domain_scores_codex":[0.9998292,0.00003708336,0.000005257944,0.00001799761,0.00006439057,0.00004616155],"domain_scores_gemma":[0.9992511,0.0004341291,0.00006011344,0.00005243577,0.000141952,0.00006019163],"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":[0.00006144655,0.00005270448,0.0006749679,0.00004022126,0.00001675367,0.00006992197,0.00007969166,0.986853,0.004715354,0.006055797,0.0001853152,0.001194734],"study_design_scores_gemma":[0.00002226693,0.00001592463,0.0001675634,0.000003204416,0.000003468621,0.00000442392,0.00001090281,0.9983642,0.0007448227,0.0005213654,0.0001371061,0.000004742821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9574581,0.0001924198,0.02744477,0.0002657118,0.00003218588,0.00006847539,0.0002587978,0.0002218854,0.0140577],"genre_scores_gemma":[0.9793519,0.00008627785,0.0185797,0.00004063132,0.000008742853,0.00009720417,0.0001429361,0.00004329548,0.001649451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01699106,"threshold_uncertainty_score":0.03378433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08668507804587366,"score_gpt":0.3891254303942597,"score_spread":0.302440352348386,"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."}}