{"id":"W1976141728","doi":"10.1109/jqe.2010.2040245","title":"Photocurrent Modeling and Detectivity Optimization in a Resonant-Tunneling Quantum-Dot Infrared Photodetector","year":2010,"lang":"en","type":"article","venue":"IEEE Journal of Quantum Electronics","topic":"Semiconductor Quantum Structures and Devices","field":"Physics and Astronomy","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Responsivity; Physics; Photocurrent; Quantum dot; Dark current; Photodetector; Quantum tunnelling; Condensed matter physics; Optoelectronics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006425851,0.0002986339,0.0005022279,0.0002992472,0.0001422448,0.0001238639,0.0002711485,0.0001249753,0.0000731886],"category_scores_gemma":[0.00005532409,0.0002624158,0.0001658983,0.0002792358,0.00004971685,0.0004618152,0.00003534209,0.00138464,9.903292e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006827189,"about_ca_system_score_gemma":0.0003186112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001663453,"about_ca_topic_score_gemma":0.00007904924,"domain_scores_codex":[0.9979483,0.00008951621,0.0007936926,0.0002936876,0.0003363748,0.0005384473],"domain_scores_gemma":[0.9986621,0.0001431008,0.0005711033,0.0002303796,0.0002229011,0.0001704008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008042055,0.000388166,0.009586574,0.00009293102,0.000233444,0.00002697018,0.001498525,0.2264038,0.7399334,0.00710956,0.00006678529,0.01385568],"study_design_scores_gemma":[0.001321122,0.0002653507,0.0001334934,0.00008941044,0.00004910049,0.00006056968,0.0002706924,0.9528996,0.02720481,0.01719476,0.0001947762,0.0003162641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678833,0.001279761,0.02970444,0.00003578541,0.0008329659,0.0002095713,0.00001098049,0.00001545462,0.00002767825],"genre_scores_gemma":[0.998229,0.0001895686,0.0009844066,0.00002634406,0.0005172802,0.000008327718,0.000003062019,0.00003918401,0.000002861766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7264959,"threshold_uncertainty_score":0.9999828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01465997016430936,"score_gpt":0.2616975020352746,"score_spread":0.2470375318709652,"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."}}