{"id":"W2028896677","doi":"10.1103/physrevlett.90.046801","title":"Nonlinear Screening in Two-Dimensional Electron Gases","year":2003,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum and electron transport phenomena","field":"Physics and Astronomy","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Nonlinear system; Physics; Perturbation theory (quantum mechanics); Fermi gas; Bound state; Electron; Limit (mathematics); Charge (physics); Density functional theory; Quantum mechanics; Perturbation (astronomy); Electron density; Statistical physics; Quantum electrodynamics; Mathematics; Mathematical analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.0001659734,0.0001992126,0.0003680671,0.00003506324,0.00005158622,0.00001200007,0.0001089079,0.000003637639,0.0002607669],"category_scores_gemma":[0.000005139118,0.0001755345,0.0001816666,0.0002607536,0.00003582633,0.0001114952,0.000008167101,0.0002884841,0.00009417185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001597388,"about_ca_system_score_gemma":0.00003132192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005767699,"about_ca_topic_score_gemma":0.000002483054,"domain_scores_codex":[0.9987206,0.00009292457,0.00024424,0.0002866319,0.0001906137,0.0004649368],"domain_scores_gemma":[0.9995731,0.00007077862,0.00006660046,0.0001847012,0.0000153219,0.00008948046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002379781,0.007978282,0.265697,0.002625528,0.001005142,0.0001379443,0.0007474794,0.02362638,0.3191498,0.3087483,0.02636151,0.04368475],"study_design_scores_gemma":[0.0270641,0.001843462,0.04667311,0.02288756,0.002513968,0.00005306993,0.0001898242,0.03708452,0.2277645,0.08996312,0.5291901,0.01477259],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993266,0.002815688,0.0006814806,0.001247656,0.00003237875,0.0002567941,0.00000710107,0.00002486116,0.001667992],"genre_scores_gemma":[0.9946657,0.00006330874,0.0004607801,0.004507313,0.0001746146,0.00004023114,0.00005087344,0.00002217085,0.00001497288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5028287,"threshold_uncertainty_score":0.7158088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210852866080572,"score_gpt":0.2818191639743859,"score_spread":0.2697106353135802,"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."}}