{"id":"W2004506012","doi":"10.1063/1.2138379","title":"Characterization of effective masses in InGaAsN quantum well structures by computer simulations","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Semiconductor Quantum Structures and Devices","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Effective mass (spring–mass system); Hamiltonian (control theory); Quantum well; Characterization (materials science); Electronic band structure; Hamiltonian matrix; Quantum; Materials science; Gallium arsenide; Physics; Condensed matter physics; Computational physics; Quantum mechanics; Nanotechnology; Mathematics; Symmetric matrix; Eigenvalues and eigenvectors","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":[0.00005783982,0.0001380926,0.0003069719,0.00006410607,0.00003551093,0.0000280556,0.0001266352,0.00003691994,0.00009230171],"category_scores_gemma":[8.444011e-7,0.0001163594,0.00008476942,0.0001624997,0.00003179409,0.0002094234,0.00002294269,0.0002056775,0.000001754558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002246661,"about_ca_system_score_gemma":0.0000286601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001184782,"about_ca_topic_score_gemma":6.462647e-7,"domain_scores_codex":[0.9991625,0.00002209848,0.0004133196,0.0001051604,0.0001700226,0.0001269145],"domain_scores_gemma":[0.9990798,0.000096481,0.0005988079,0.00009779005,0.00008604227,0.00004102708],"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":[0.0001047165,0.0002051825,0.01180124,0.00003475655,0.0001396596,3.989509e-7,0.001084057,0.07555392,0.8561087,0.03538436,0.0002317033,0.01935134],"study_design_scores_gemma":[0.002661031,0.0001925169,0.04571304,0.00009972322,0.000114574,0.000002055021,0.0003319449,0.0620454,0.815375,0.06870142,0.00428528,0.0004780374],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923829,0.00001737372,0.006938154,0.00001340727,0.0001325522,0.0001372859,0.00005027502,0.000003800252,0.0003242306],"genre_scores_gemma":[0.9982219,0.000002401951,0.000686433,0.00005222411,0.0009701624,0.000001566769,0.00004896501,0.00001433638,0.000002044335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04073369,"threshold_uncertainty_score":0.4744999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006336148517148127,"score_gpt":0.2390552992695612,"score_spread":0.2327191507524131,"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."}}