{"id":"W1975728089","doi":"10.1103/physrevb.80.035118","title":"Excitation-energy dependence of transient grating spectroscopy in<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>β</mml:mi></mml:math>-carotene","year":2009,"lang":"en","type":"article","venue":"Physical Review B","topic":"Spectroscopy and Quantum Chemical Studies","field":"Physics and Astronomy","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Nissan Global Foundation","keywords":"Excitation; Physics; Excited state; Energy (signal processing); Atomic physics; Grating; Absorption (acoustics); Ultrafast laser spectroscopy; Coherence (philosophical gambling strategy); Relaxation (psychology); Spectroscopy; Optics; Quantum mechanics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002111593,0.0002010858,0.0001457719,0.0002629669,0.0001392339,0.0001777878,0.0002459218,0.0002780347,0.002365262],"category_scores_gemma":[0.0005329243,0.0001553521,0.0001200983,0.0003179959,0.0002061782,0.0002414456,0.0001547871,0.0006572467,0.0003995807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003329279,"about_ca_system_score_gemma":0.0001570014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009060295,"about_ca_topic_score_gemma":0.001148767,"domain_scores_codex":[0.9998851,0.00001604392,0.000005416684,0.000029785,0.00003670231,0.00002699726],"domain_scores_gemma":[0.9996363,0.0002075175,0.00004383259,0.00002638455,0.00005848564,0.00002741415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001505576,0.00004653394,0.0005878468,0.00004630984,0.00001095612,0.00005668564,0.00007110522,0.0009553705,0.9936837,0.0005020339,0.0002246787,0.003664243],"study_design_scores_gemma":[0.000005687535,0.0001065616,0.005486683,0.00000535046,0.000005176643,0.00005611121,0.00002507618,0.007268313,0.986418,0.000105251,0.0005085233,0.000009328921],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988801,0.0002720218,0.008060166,0.00008920148,0.00001939649,0.00001068524,0.0002918824,0.0002004617,0.002255042],"genre_scores_gemma":[0.9929059,0.0002794023,0.003778798,0.00004233235,0.000002636991,0.00002746916,0.0005448411,0.00005831277,0.002360368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002365262,"threshold_uncertainty_score":0.007912576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01492117700104393,"score_gpt":0.276156818512947,"score_spread":0.2612356415119031,"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."}}