{"id":"W1967658766","doi":"10.1063/1.4790568","title":"Band structure and the optical gain of GaInNAs/GaAs quantum wells modeled within 10-band and 8-band <i>kp</i> model","year":2013,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Semiconductor Quantum Structures and Devices","field":"Physics and Astronomy","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Royal Military College of Canada","funders":"","keywords":"Quantum well; Electronic band structure; Optoelectronics; Effective mass (spring–mass system); Band gap; Context (archaeology); Electron; Wide-bandgap semiconductor; Condensed matter physics; Nitride; Conduction band; Materials science; Laser; Direct and indirect band gaps; Semimetal; Physics; Optics; Nanotechnology; Quantum mechanics","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":[0.0002374118,0.0004141991,0.0002626557,0.0002983027,0.0002626697,0.0003953714,0.0006792866,0.0005660969,0.001014213],"category_scores_gemma":[0.0002556739,0.000214353,0.0003613648,0.0002703085,0.0003420093,0.0004253379,0.0001285416,0.0002512457,0.0002376375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001109488,"about_ca_system_score_gemma":0.0003796429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00831533,"about_ca_topic_score_gemma":0.006750186,"domain_scores_codex":[0.9999325,0.00001024254,0.000002859584,0.00001157883,0.00002283312,0.00001985755],"domain_scores_gemma":[0.9999,0.00004359166,0.00001980044,0.000008383187,0.00001993022,0.000008369384],"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":[0.0003307483,0.0001321469,0.004968783,0.0001957151,0.00007980959,0.0004371814,0.0001382263,0.7298571,0.2286234,0.03008688,0.0005958024,0.004554208],"study_design_scores_gemma":[0.00003721142,0.0001225688,0.003026851,0.00002469478,0.00003280222,0.00007220959,0.0000630432,0.9659295,0.02651842,0.0035014,0.0006483888,0.00002294712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984385,0.0003583092,0.006589341,0.0001060366,0.00001442676,0.00001857573,0.0002715165,0.00009316387,0.008163647],"genre_scores_gemma":[0.9968215,0.000115937,0.001923597,0.00001148746,0.000002257851,0.00001459123,0.00008749486,0.00001142862,0.001011765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00831533,"threshold_uncertainty_score":0.01653385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00907798240604528,"score_gpt":0.2175963698041138,"score_spread":0.2085183873980685,"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."}}