{"id":"W2774935444","doi":"10.1021/acs.nanolett.7b03620","title":"Mapping the Coulomb Environment in Interference-Quenched Ballistic Nanowires","year":2017,"lang":"en","type":"article","venue":"Nano Letters","topic":"Advancements in Semiconductor Devices and Circuit Design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Networks of Centres of Excellence of Canada; Natural Sciences and Engineering Research Council of Canada; Defence Research and Development Canada; Ontario Centres of Excellence","keywords":"Nanowire; Condensed matter physics; Coulomb; Conductance; Scattering; Materials science; Semiconductor; Electron; Nanotechnology; Physics; Optoelectronics; Optics; Quantum mechanics","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":[0.0001269239,0.0001447018,0.0001327086,0.00004086762,0.0001469466,0.00009415442,0.0005360224,0.00004200529,0.0001334193],"category_scores_gemma":[0.00001690144,0.0001140969,0.00003522624,0.00002793344,0.0001039844,0.0001687584,0.00004622038,0.000136875,0.00007394549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001351354,"about_ca_system_score_gemma":0.000004390228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002975536,"about_ca_topic_score_gemma":0.00001078672,"domain_scores_codex":[0.9992273,0.00001846248,0.0001886026,0.0001707068,0.0001313445,0.0002635316],"domain_scores_gemma":[0.9993405,0.00004063024,0.00005463809,0.000529965,0.000003592736,0.00003067292],"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":[0.000002770401,0.00001306886,0.004898885,0.00004357599,0.00004109983,0.00002783362,0.001075221,0.005650043,0.9705162,0.0002409577,0.00173214,0.01575819],"study_design_scores_gemma":[0.006781698,0.0001968196,0.2441443,0.002168244,0.0001545859,0.00007637565,0.004360677,0.03063158,0.1823733,0.006313508,0.5175976,0.005201397],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802155,0.0005701163,0.01321886,0.001090811,0.0009513235,0.0002794073,0.000006380786,0.00007965804,0.003587975],"genre_scores_gemma":[0.9988112,0.0001772876,0.0001754435,0.0006026828,0.00007927725,0.00003778538,0.000002570093,0.00002054656,0.00009317131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7881429,"threshold_uncertainty_score":0.4652735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03551799496401701,"score_gpt":0.2329295956967463,"score_spread":0.1974116007327293,"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."}}