{"id":"W2891681269","doi":"10.1007/s11468-018-0843-y","title":"Tip-Enhanced Second Harmonic Generation: an Approach for Hyper-Raman Spectroscopy","year":2018,"lang":"en","type":"article","venue":"Plasmonics","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Université de Montréal; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Raman spectroscopy; Coherent anti-Stokes Raman spectroscopy; Materials science; Raman scattering; Excitation; Optics; Second-harmonic generation; Spectroscopy; X-ray Raman scattering; Phonon; Optoelectronics; Laser; Physics; Condensed matter physics","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":[0.0002328859,0.0001270186,0.0001538617,0.00002479382,0.0003796868,0.0001707402,0.0002500728,0.00006451834,0.0005453731],"category_scores_gemma":[0.00001473614,0.0001125098,0.00005135448,0.00009227514,0.00009731648,0.0001948996,0.00002904353,0.00004691951,0.0001958701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003150712,"about_ca_system_score_gemma":0.00005428708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004658863,"about_ca_topic_score_gemma":0.00003419622,"domain_scores_codex":[0.9989244,0.00002715703,0.0002157195,0.0003889449,0.0001275929,0.0003161742],"domain_scores_gemma":[0.9993196,0.00003371597,0.00007383867,0.0003745321,0.00009095688,0.0001073376],"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":[0.00001669472,0.0001204487,0.00002198701,0.000006828889,0.000003270036,6.62272e-8,0.0001777933,0.00001635636,0.9950641,0.002640916,0.001348546,0.0005829523],"study_design_scores_gemma":[0.0002644241,0.0001486293,0.00006732195,0.000002274212,0.00001585531,0.000002165472,0.0000661574,0.02103668,0.9682782,0.0003923894,0.009569616,0.0001562335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814023,0.00005415227,0.01571161,0.0001061839,0.0002035423,0.0002950694,0.00005308471,0.0000876975,0.002086317],"genre_scores_gemma":[0.9296036,0.000007513032,0.06917572,0.0001800378,0.0004218818,0.0001610081,0.00003712907,0.00001845302,0.0003945957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05346411,"threshold_uncertainty_score":0.5971453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04277244600148439,"score_gpt":0.2746464829372888,"score_spread":0.2318740369358044,"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."}}