{"id":"W2895497103","doi":"10.1038/s41586-018-0592-2","title":"Electronic noise due to temperature differences in atomic-scale junctions","year":2018,"lang":"en","type":"article","venue":"Nature","topic":"Quantum and electron transport phenomena","field":"Physics and Astronomy","cited_by":98,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Shot noise; Noise (video); Quantum noise; Physics; Noise temperature; Noise spectral density; Materials science; Condensed matter physics; Optoelectronics; Noise figure; Optics; Computer science; Quantum mechanics; Quantum; Phase noise","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":[0.00007307466,0.0001688761,0.0002022495,0.00009993211,0.0001240421,0.0000359595,0.0001968,0.0003232833,0.0007416725],"category_scores_gemma":[0.000001605089,0.0001417391,0.0000666918,0.000452028,0.00003575795,0.00009076615,0.00001475268,0.001763953,0.0001518722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004424571,"about_ca_system_score_gemma":0.0000998976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007556668,"about_ca_topic_score_gemma":0.0004370588,"domain_scores_codex":[0.998916,0.00002133941,0.0001425956,0.0003025177,0.0001265983,0.0004908945],"domain_scores_gemma":[0.9996002,0.00001293928,0.00002760953,0.0002091062,0.00005390813,0.00009618422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004464674,0.001008871,0.615192,0.00003752766,0.0002337842,0.00001122718,0.004305306,0.00001322668,0.07386021,0.2443414,0.05204893,0.008501042],"study_design_scores_gemma":[0.002017942,0.0007699077,0.7623245,0.0001078025,0.00007673846,0.000006831443,0.0008498845,0.0001463773,0.02980667,0.06279762,0.1398489,0.001246935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917043,0.0002035772,0.0001653487,0.001030921,0.0003077523,0.000173921,0.00002817513,0.00003769219,0.006348355],"genre_scores_gemma":[0.996985,0.000003130306,0.00005272309,0.0005171025,0.0006614177,0.00003323789,0.00004008094,0.00001719451,0.001690103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1815438,"threshold_uncertainty_score":0.8120794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003534828194886983,"score_gpt":0.2164577399262773,"score_spread":0.2129229117313903,"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."}}