{"id":"W1965121600","doi":"10.1364/oe.15.007564","title":"Pulse optimization for Raman spectroscopy with cross-correlation frequency resolved optical gating","year":2007,"lang":"en","type":"article","venue":"Optics Express","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Optics; Frequency-resolved optical gating; Raman scattering; Raman spectroscopy; Gating; Femtosecond; Coherence (philosophical gambling strategy); Amplitude; Coherent anti-Stokes Raman spectroscopy; Spectrogram; Laser; Pulse shaping; Ultrashort pulse; Materials science; Cross-correlation; Phase noise; Physics; Femtosecond pulse shaping; 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":[0.0002617055,0.0004145386,0.0001929286,0.0002044884,0.0001659919,0.0002599283,0.0003630769,0.0002843037,0.001130604],"category_scores_gemma":[0.0007445709,0.0001618917,0.0001242339,0.0003588283,0.0001904607,0.0003249624,0.0002902596,0.0002783713,0.0002433595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002986834,"about_ca_system_score_gemma":0.0005009419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000315848,"about_ca_topic_score_gemma":0.0006352942,"domain_scores_codex":[0.9998766,0.00002399012,0.000006073896,0.00002020334,0.00005039686,0.00002268042],"domain_scores_gemma":[0.9997395,0.0001137558,0.00005072141,0.00003183988,0.00004797735,0.00001607113],"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":[0.0001935537,0.0001073175,0.0005388535,0.00007180186,0.00001238723,0.00008226041,0.00003675697,0.01428134,0.929382,0.005106699,0.0002021595,0.04998494],"study_design_scores_gemma":[0.0000411451,0.0003207082,0.00105399,0.000008475393,0.00001403511,0.0001696201,0.00001720163,0.204054,0.7900354,0.001696931,0.002561343,0.00002718389],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3999171,0.0007223898,0.5946158,0.0002693745,0.00008497645,0.0001289341,0.00009604461,0.000701781,0.003463652],"genre_scores_gemma":[0.7601969,0.0003364698,0.2379009,0.00007611442,0.00002053159,0.000113666,0.00008854589,0.0001159688,0.001150849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001130604,"threshold_uncertainty_score":0.003782272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112095456552903,"score_gpt":0.3296522077761557,"score_spread":0.3185312532106266,"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."}}