{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003840577,0.0005687249,0.0004561126,0.0004486382,0.0004511553,0.0008103005,0.001129661,0.0011014,0.001958793],"category_scores_gemma":[0.0003791933,0.0003824548,0.0003363047,0.000328135,0.000836645,0.0009133975,0.001201792,0.001237147,0.00098623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000723958,"about_ca_system_score_gemma":0.0003938516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002958276,"about_ca_topic_score_gemma":0.0006756371,"domain_scores_codex":[0.999554,0.00006250313,0.00001148679,0.00008612074,0.0002400164,0.0000459941],"domain_scores_gemma":[0.9998716,0.00003709562,0.00001636869,0.00003306383,0.00002687352,0.00001508089],"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":[0.00006350817,0.0000420564,0.0001083183,0.0001786135,0.00001295286,0.0001060426,0.0001147823,0.001028047,0.9594271,0.01542857,0.0009906308,0.02249944],"study_design_scores_gemma":[0.00001967726,0.00008690089,0.0002238951,0.00001223491,0.00001202725,0.0002459501,0.00003302598,0.03014185,0.9525875,0.003936743,0.01266496,0.00003514772],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2129121,0.006194786,0.7356042,0.002190634,0.0007553595,0.0004016289,0.0003317078,0.001979765,0.03962973],"genre_scores_gemma":[0.6777559,0.003867343,0.2898543,0.0006319762,0.0001732203,0.0002445604,0.0002650607,0.0003098173,0.02689777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001958793,"threshold_uncertainty_score":0.006552815,"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."}}