{"id":"W2093572449","doi":"10.1021/ct500028w","title":"Two-Photon Absorption in Fluorescent Protein Chromophores: TDDFT and CC2 Results","year":2014,"lang":"en","type":"article","venue":"Journal of Chemical Theory and Computation","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Western Canada Research Grid; Compute Canada","keywords":"Chromophore; Time-dependent density functional theory; Fluorescence; Two-photon absorption; Fluorescent protein; Absorption (acoustics); Chemistry; Photon; Photochemistry; Physics; Green fluorescent protein; Optics; Computational chemistry; Density functional theory; Biochemistry","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":[0.0006824905,0.00008843615,0.0001277227,0.00004721162,0.0000187315,0.0000169194,0.00005895758,0.00008184069,7.710743e-7],"category_scores_gemma":[0.0002024378,0.00007678307,0.00002794247,0.00004366731,0.00009337441,0.00001116132,0.00003831119,0.0001292814,2.277839e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001553168,"about_ca_system_score_gemma":0.00001466757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001120529,"about_ca_topic_score_gemma":4.596795e-7,"domain_scores_codex":[0.9992705,0.0001185716,0.0002889078,0.0001444691,0.00008181746,0.00009571949],"domain_scores_gemma":[0.9996018,0.00003677227,0.0001800265,0.00006274923,0.0000673455,0.00005129221],"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":[0.0009849503,0.00003789481,0.00006659611,0.00001746175,0.000005528527,0.000001699543,0.00006012029,0.00003324883,0.9873507,0.0007668431,0.00002460676,0.01065035],"study_design_scores_gemma":[0.001052852,0.0003063993,0.0002308486,0.0001161611,0.000005507921,0.00004591865,0.00002915108,0.0003914529,0.9691566,0.02840298,0.0001752023,0.00008694932],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9521801,0.0002739838,0.04729001,0.00005386052,0.00002169598,0.0001051801,0.000001571085,0.000004825358,0.00006870408],"genre_scores_gemma":[0.9860019,0.00008399069,0.01372236,0.00006032207,0.0001031287,0.00000294617,0.00001136712,0.000007949707,0.000006016141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03382175,"threshold_uncertainty_score":0.3131123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005308734775396157,"score_gpt":0.2732992039520397,"score_spread":0.2679904691766435,"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."}}