{"id":"W2775164898","doi":"10.1126/science.aao1467","title":"Giant nonlinear response at a plasmonic nanofocus drives efficient four-wave mixing","year":2017,"lang":"en","type":"article","venue":"Science","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Plasmon; Mixing (physics); Nonlinear system; Nonlinear optics; Optoelectronics; Wavelength; Four-wave mixing; Photon; Nanoscopic scale; Physics; Optics; Electromagnetic field; Materials science; Nanotechnology; Quantum mechanics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001804828,0.0002206453,0.0001301198,0.0001433331,0.0001877537,0.0002431879,0.0001670459,0.0002488441,0.001203614],"category_scores_gemma":[0.0001945935,0.0001375985,0.000106361,0.0001156072,0.0003689218,0.0003384231,0.0003414697,0.0004072296,0.0002891386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002702405,"about_ca_system_score_gemma":0.0002002713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002442137,"about_ca_topic_score_gemma":0.0005243297,"domain_scores_codex":[0.9999119,0.000008678071,0.000004225999,0.00001533531,0.00003829178,0.00002161277],"domain_scores_gemma":[0.9998453,0.00007502361,0.00003330734,0.000009039841,0.00002006538,0.00001739785],"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":[0.00001182048,0.000006161838,0.00009779512,0.00001313544,0.000001068433,0.00001642348,0.00001475693,0.000111774,0.9985607,0.0003899893,0.00002202661,0.0007542819],"study_design_scores_gemma":[0.000007477397,0.00005440547,0.0005451412,0.000001915734,0.000002442676,0.0000316253,0.00001858924,0.002928541,0.9956582,0.000190133,0.0005584344,0.000003109632],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987313,0.0002521321,0.009143617,0.0001613692,0.0000160542,0.00001528692,0.00004078457,0.0000808898,0.002977027],"genre_scores_gemma":[0.9925823,0.0001609644,0.006180322,0.00003228785,0.000008561143,0.0000174869,0.000032957,0.00001946793,0.0009656372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001203614,"threshold_uncertainty_score":0.004026532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03185986668696873,"score_gpt":0.2697854031989423,"score_spread":0.2379255365119736,"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."}}