{"id":"W4315470973","doi":"10.1016/j.optlastec.2023.109130","title":"Genetic optimization of Brillouin scattering gain in subwavelength-structured silicon membrane waveguides","year":2023,"lang":"en","type":"article","venue":"Optics & Laser Technology","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"HORIZON EUROPE Framework Programme; Erasmus+; Agence Nationale de la Recherche; European Commission","keywords":"Brillouin zone; Optomechanics; Brillouin scattering; Waveguide; Phonon; Optics; Photonics; Materials science; Optoelectronics; Photon; Silicon; Physics; Optical fiber; Condensed matter physics; Resonator","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002642258,0.000392699,0.0004305942,0.0003690012,0.0002696673,0.0006815536,0.0003989249,0.0007790174,0.001256539],"category_scores_gemma":[0.0004795936,0.0002740998,0.0003337045,0.0002984219,0.0004796702,0.0002393528,0.0003497417,0.0003382433,0.0001199234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001394256,"about_ca_system_score_gemma":0.0009383113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004264357,"about_ca_topic_score_gemma":0.005596882,"domain_scores_codex":[0.9999018,0.00001939065,0.000001978344,0.00001294663,0.00002810396,0.0000357041],"domain_scores_gemma":[0.9997784,0.00009939231,0.00004702631,0.00000767841,0.0000434766,0.00002392562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009646614,0.00009504061,0.0004195593,0.00002915686,0.00002007262,0.00006014694,0.00001941425,0.959583,0.03311721,0.002788406,0.0001296099,0.003641825],"study_design_scores_gemma":[0.00002265229,0.00007559259,0.0001921811,0.000003532277,0.00000726349,0.000005335334,0.00001656543,0.9942063,0.00509544,0.0002588606,0.0001116708,0.00000448342],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648992,0.0001771527,0.02633497,0.0002357787,0.00003381263,0.00002643725,0.00002950065,0.00007674761,0.008186334],"genre_scores_gemma":[0.989648,0.00007994839,0.008683954,0.00002369955,0.000004107864,0.00001628795,0.00001457196,0.00001476805,0.001514568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004264357,"threshold_uncertainty_score":0.0101161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00689465277177375,"score_gpt":0.2118339367492288,"score_spread":0.2049392839774551,"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."}}