{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004618519,0.000318298,0.0003931762,0.0005407901,0.000560167,0.0005270992,0.0006954094,0.0005505626,0.001158331],"category_scores_gemma":[0.001699387,0.0003408273,0.0002232801,0.000495023,0.0005454427,0.0005851737,0.00023124,0.0003312773,0.0001008081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009307403,"about_ca_system_score_gemma":0.000604142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004120782,"about_ca_topic_score_gemma":0.004782121,"domain_scores_codex":[0.9998927,0.00003155809,0.000004833498,0.00001048775,0.00003602498,0.00002433389],"domain_scores_gemma":[0.99915,0.000527442,0.00007969222,0.00006271558,0.0001360544,0.00004405915],"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":[0.00009354896,0.00007573637,0.001909611,0.00006377503,0.00002430917,0.00009036966,0.0001228323,0.9737394,0.01067061,0.01003013,0.0003275515,0.002852144],"study_design_scores_gemma":[0.0000120639,0.00001414879,0.0003201079,0.000002825637,0.000003416488,0.000004834872,0.00001000116,0.9970144,0.00173461,0.0007711889,0.0001082052,0.000004222165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983539,0.0001136041,0.01143111,0.0001073119,0.00000905083,0.00002442135,0.0001709976,0.0001590598,0.004445481],"genre_scores_gemma":[0.9932845,0.0000507184,0.006141482,0.00001154519,0.000003818109,0.00004218423,0.00009607687,0.00003843391,0.0003313579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004120782,"threshold_uncertainty_score":0.008193552,"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."}}