{"id":"W3099796466","doi":"10.17169/refubium-29832","title":"Towards polarization-based excitation tailoring for extended Raman spectroscopy","year":2020,"lang":"en","type":"article","venue":"MPG.PuRe (Max Planck Society)","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Deutsche Forschungsgemeinschaft","keywords":"Raman spectroscopy; Excitation; Materials science; Coherent anti-Stokes Raman spectroscopy; Optics; Polarization (electrochemistry); Raman scattering; Electric field; Spectroscopy; Optoelectronics; Physics; Chemistry","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":[0.0005281327,0.0006131849,0.0002730252,0.000226801,0.0002019447,0.0005746977,0.0005576942,0.0005630959,0.001351347],"category_scores_gemma":[0.0006301873,0.0002764759,0.000231953,0.0002707271,0.0007294918,0.0008528116,0.001059678,0.00128666,0.0006307323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003133322,"about_ca_system_score_gemma":0.0002727255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001360834,"about_ca_topic_score_gemma":0.0002505467,"domain_scores_codex":[0.9996243,0.00006700146,0.00001872422,0.0001114674,0.0001211797,0.00005740172],"domain_scores_gemma":[0.9995448,0.0001790191,0.00008221473,0.00009288506,0.00006866868,0.00003240676],"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":[0.00002856125,0.00003066894,0.0001194506,0.00008489206,0.000005049126,0.00007139554,0.00005454778,0.0009723724,0.984755,0.005107238,0.0001789771,0.008591884],"study_design_scores_gemma":[0.00001055155,0.00009450858,0.0003067702,0.00001636839,0.000006428802,0.0001747111,0.00002589133,0.01006006,0.9792846,0.002622466,0.007374572,0.00002301305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4774429,0.003992662,0.4988664,0.0009781581,0.0003469605,0.000211239,0.0004556084,0.001107607,0.01659857],"genre_scores_gemma":[0.7891294,0.003801237,0.2028497,0.0004707233,0.0001111133,0.0002322764,0.0003393299,0.0001546598,0.002911578],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001351347,"threshold_uncertainty_score":0.004520714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190214920683558,"score_gpt":0.3104251096561329,"score_spread":0.2914036175877771,"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."}}