{"id":"W4383216142","doi":"10.1063/5.0153856","title":"Nonlinear generation of hollow beams in tunable plasmonic nanosuspensions","year":2023,"lang":"en","type":"article","venue":"APL Photonics","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"National Key Research and Development Program of China; Natural Science Foundation of Tianjin City; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; National Science Foundation","keywords":"Plasmon; Materials science; Beam (structure); Optics; Wavelength; Nanorod; Refractive index; Optoelectronics; Nonlinear optics; Nonlinear system; Light beam; Nanotechnology; Laser; 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":[0.0003372776,0.0001387036,0.0002366961,0.000241851,0.00004941212,0.00001881454,0.0001895855,0.0001417371,0.00007660795],"category_scores_gemma":[0.00007532023,0.0001451752,0.00006454426,0.0008848452,0.00003744151,0.0001073583,0.00006424886,0.000281314,0.0002862161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008453932,"about_ca_system_score_gemma":0.00009296681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007796412,"about_ca_topic_score_gemma":0.0003279141,"domain_scores_codex":[0.9987527,0.00002383609,0.0003039461,0.0001898454,0.0002919517,0.0004377745],"domain_scores_gemma":[0.9994373,0.0001259988,0.00002381422,0.000289438,0.00004375157,0.00007968429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001792957,0.00008088296,0.002110403,0.0001012756,0.00005268649,0.00008614148,0.0003957602,0.7545701,0.2317216,0.0003299766,0.01008185,0.000451389],"study_design_scores_gemma":[0.0003581814,0.0000284668,0.0004968565,0.00002314535,0.000004112892,0.000002759608,0.00008522576,0.835269,0.1576312,0.00006548929,0.005908646,0.0001268355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967207,0.0002159563,0.00003887625,0.00006498818,0.0002943155,0.000208749,0.00003953408,0.0001950668,0.002221853],"genre_scores_gemma":[0.9929156,0.001315964,0.004666914,0.00001604029,0.000006239575,0.0000313208,0.0001018925,0.00004231651,0.0009037103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08069894,"threshold_uncertainty_score":0.5920073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03709658295564539,"score_gpt":0.2592874854889806,"score_spread":0.2221909025333352,"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."}}