{"id":"W1695017524","doi":"10.1103/physrevlett.114.213601","title":"Thermal Light Cannot Be Represented as a Statistical Mixture of Single Pulses","year":2015,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Spectroscopy and Quantum Chemical Studies","field":"Physics and Astronomy","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Toronto","funders":"Foreign Affairs and International Trade Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Natural Sciences and Engineering Research Council of Canada; Air Force Office of Scientific Research; Defense Advanced Research Projects Agency; Ontario Ministry of Research, Innovation and Science; Government of Canada","keywords":"Thermal; Correlation function (quantum field theory); Function (biology); Physics; Optics; Space (punctuation); Order (exchange); Correlation; Statistical physics; Computational physics; Quantum mechanics; Mathematics; Thermodynamics; Computer science","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":[0.00007564054,0.0001794067,0.0004841503,0.00001119143,0.00003574075,0.00001225429,0.0001586689,0.000008003114,0.000175439],"category_scores_gemma":[0.00008038442,0.0001311663,0.0001563206,0.0001563537,0.0001197672,0.00006388352,0.00008089706,0.000165525,0.00004319095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002410533,"about_ca_system_score_gemma":0.00002442275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000219361,"about_ca_topic_score_gemma":7.919949e-7,"domain_scores_codex":[0.9988847,0.0000693343,0.0002417679,0.0002502977,0.0002900756,0.0002638094],"domain_scores_gemma":[0.9993119,0.0001374168,0.0001100198,0.0002353811,0.00006132196,0.0001439088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008726802,0.001140362,0.002465923,0.0005002085,0.0003527139,0.00001499857,0.000502639,0.00002147653,0.7861651,0.02507558,0.1806105,0.003063244],"study_design_scores_gemma":[0.002117545,0.0007688006,0.001512395,0.00269659,0.00103466,0.000004122884,0.0003172324,0.0004492987,0.701812,0.01332231,0.2744369,0.001528159],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9594245,0.003603909,0.0006386236,0.02463023,0.0001094653,0.0003561083,0.0001050965,0.00003931364,0.01109274],"genre_scores_gemma":[0.9957121,0.00004138936,0.0001488485,0.003581396,0.0003942975,0.00003589076,0.00004478264,0.00001531109,0.00002600241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09382642,"threshold_uncertainty_score":0.5348806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02573112014158601,"score_gpt":0.3171906795218598,"score_spread":0.2914595593802738,"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."}}