{"id":"W2735128650","doi":"10.1063/1.4994987","title":"Incoherent population mixing contributions to phase-modulation two-dimensional coherent excitation spectra","year":2017,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"Spectroscopy and Quantum Chemical Studies","field":"Physics and Astronomy","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"H2020 Marie Skłodowska-Curie Actions; Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Photoexcitation; Population; Spectral line shape; Spectral line; Excitation; Coherent spectroscopy; Mixing (physics); Incoherent scatter; Four-wave mixing","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":[0.0002207772,0.0001353398,0.0002399443,0.00001545237,0.000366824,0.00006993964,0.0002462248,0.00002323136,0.00005274664],"category_scores_gemma":[0.00006098189,0.00009425591,0.0001362363,0.00005823628,0.00006726722,0.0002435784,0.00007394772,0.0002540556,0.000009759448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000110842,"about_ca_system_score_gemma":0.00002506832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008696902,"about_ca_topic_score_gemma":9.166193e-7,"domain_scores_codex":[0.9990131,0.00003542339,0.0003598124,0.00009654135,0.0003081903,0.0001869908],"domain_scores_gemma":[0.998768,0.0001437217,0.0005364242,0.0002070452,0.000247947,0.00009685511],"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":[0.0002318363,0.0003480329,0.00224107,0.000004614548,0.0001384361,4.558118e-7,0.0002024728,0.00121386,0.9751562,0.01336626,0.0009484909,0.006148275],"study_design_scores_gemma":[0.002482401,0.0001410425,0.005460436,0.0001054965,0.0001686978,0.000002915767,0.00007387195,0.004266827,0.7304473,0.2565442,0.00008475523,0.0002220636],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830443,0.00002188493,0.01504362,0.001137109,0.0001934484,0.0001424953,0.00003182238,0.00000732581,0.0003779439],"genre_scores_gemma":[0.9977368,6.954315e-7,0.000475625,0.00004053909,0.001694779,0.000004144488,0.00002929551,0.00001005915,0.00000802675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2447089,"threshold_uncertainty_score":0.3843644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02026496236854248,"score_gpt":0.3490252452883021,"score_spread":0.3287602829197597,"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."}}