{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009797151,0.0003875526,0.0005940033,0.0008532347,0.0004594292,0.001331356,0.0009481117,0.001009564,0.002078807],"category_scores_gemma":[0.002275138,0.0007299821,0.0004935236,0.0006107736,0.001494845,0.002981257,0.001003978,0.001372867,0.0004611902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004640668,"about_ca_system_score_gemma":0.0005104391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004369098,"about_ca_topic_score_gemma":0.0004660284,"domain_scores_codex":[0.9993836,0.0001250808,0.00002370097,0.0001313124,0.0002342575,0.0001020736],"domain_scores_gemma":[0.9991956,0.0002455833,0.000161395,0.0002324868,0.00008335432,0.0000815322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005689973,0.0001570416,0.00284263,0.0002095567,0.0002077978,0.0003901937,0.0002742932,0.0782128,0.2070002,0.6831502,0.001559806,0.02542643],"study_design_scores_gemma":[0.00008563855,0.0002549551,0.003427501,0.00004874468,0.00007744889,0.0006197164,0.0001155419,0.7576874,0.04627176,0.1872355,0.004033606,0.0001421306],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5368109,0.000420502,0.4493095,0.0008154482,0.0001807083,0.00009146074,0.0002578152,0.0005762125,0.01153757],"genre_scores_gemma":[0.9490523,0.0003357953,0.04557534,0.0003277012,0.00007408826,0.0001018891,0.0001821347,0.0001478703,0.004202869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002078807,"threshold_uncertainty_score":0.006954312,"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."}}