{"id":"W1458358209","doi":"10.1021/acs.jpca.5b06126","title":"Broadband Transient Absorption and Two-Dimensional Electronic Spectroscopy of Methylene Blue","year":2015,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry A","topic":"Spectroscopy and Quantum Chemical Studies","field":"Physics and Astronomy","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Air Force Office of Scientific Research; Natural Sciences and Engineering Research Council of Canada; Princeton University","keywords":"Ultrafast laser spectroscopy; Excited state; Chemistry; Photoexcitation; Spectroscopy; Fourier transform spectroscopy; Absorption spectroscopy; Population; Atomic physics; Antibonding molecular orbital; Fourier transform; Vibronic coupling; Molecular physics; Excitation; Optics; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001355919,0.0002058285,0.0001578639,0.0002589236,0.0002243759,0.0001431209,0.0002562286,0.0002883347,0.0007531077],"category_scores_gemma":[0.0003002197,0.0001302492,0.0000947795,0.000290048,0.0002339999,0.000313019,0.000239142,0.0004594336,0.00009395702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000212241,"about_ca_system_score_gemma":0.00009602143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006432956,"about_ca_topic_score_gemma":0.0006205666,"domain_scores_codex":[0.9999192,0.00001058641,0.000002395661,0.00001780582,0.00003299487,0.000017076],"domain_scores_gemma":[0.9998831,0.00005213565,0.00002664645,0.000008164211,0.00002054347,0.000009478547],"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":[0.00004944929,0.00002296204,0.0004199891,0.00007361826,0.000003989386,0.00008253712,0.00009552857,0.00118277,0.9953316,0.0004317466,0.00005847397,0.002247246],"study_design_scores_gemma":[0.00002034136,0.0004967686,0.007658165,0.00001610043,0.00001258073,0.0001824387,0.0001339057,0.03161846,0.9578795,0.0004769836,0.001479092,0.00002569903],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869252,0.0006127207,0.01088902,0.00005847633,0.00001057798,0.00001443609,0.0001728576,0.00006646653,0.001250156],"genre_scores_gemma":[0.9909672,0.0005871318,0.007311362,0.00002856354,0.000006892681,0.00003550775,0.0001630598,0.0000127797,0.0008874542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007531077,"threshold_uncertainty_score":0.002519369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01065435888286756,"score_gpt":0.2675840539841269,"score_spread":0.2569296951012594,"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."}}