{"id":"W3009186290","doi":"10.36227/techrxiv.11859429.v1","title":"Enhanced optical four-wave-mixing in integrated ring resonators with graphene oxide films","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Swinburne University of Technology; Australian Research Council; 1000 Talents Sichuan Program; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Materials science; Graphene; Resonator; Optoelectronics; Four-wave mixing; Photolithography; Photonics; Nonlinear optics; Wavelength; Optics; Nanotechnology; Laser","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001511913,0.0004987423,0.0006581107,0.0001936013,0.00002859948,0.0001018265,0.0003303329,0.0003919463,0.0001773938],"category_scores_gemma":[0.00007980786,0.0004087887,0.0001222623,0.0004393146,0.0000701177,0.0001003612,0.0003140602,0.001668988,0.00003719921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001347931,"about_ca_system_score_gemma":0.0000807402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000168783,"about_ca_topic_score_gemma":0.0003956922,"domain_scores_codex":[0.9980279,0.00002725324,0.0004991022,0.0006005459,0.000305361,0.0005398775],"domain_scores_gemma":[0.9991285,0.0001385529,0.00004495809,0.0003792226,0.00004808361,0.000260738],"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":[0.000748456,0.000290935,0.001427298,0.005412765,0.001901825,0.002810752,0.002521237,0.7524701,0.1006331,0.1192806,0.000623792,0.01187921],"study_design_scores_gemma":[0.0007896988,0.0000613701,0.003150685,0.001468529,0.00006836772,0.00001305167,0.0004306079,0.8819471,0.1079748,0.002582547,0.0003691643,0.00114407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7976032,0.0003268879,0.09896246,0.0001096715,0.0003039686,0.0004460547,0.00001422208,0.0009949434,0.1012386],"genre_scores_gemma":[0.9361845,0.0001384945,0.06329548,0.00009548996,0.00002768938,0.00008190167,0.00003580579,0.00008636291,0.00005429567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1385813,"threshold_uncertainty_score":0.9998364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01999305832544275,"score_gpt":0.2218527147165651,"score_spread":0.2018596563911224,"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."}}