{"id":"W4414172468","doi":"10.1117/12.3072872","title":"Metaheuristic optimization of hybrid silicon nitride grating couplers","year":2025,"lang":"en","type":"article","venue":"","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; National Research Council Canada","funders":"","keywords":"Grating; Metaheuristic; Particle swarm optimization; Coupling (piping); Photonics; Polarization (electrochemistry); Finite element method; Silicon photonics","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":[0.0006902944,0.0007516684,0.0006658343,0.000564651,0.0002272623,0.0007704484,0.0005452257,0.001039988,0.0009865745],"category_scores_gemma":[0.001137548,0.0003439205,0.0006168878,0.0004263448,0.0005017378,0.0002844008,0.0004519336,0.0005033337,0.00009860266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006991329,"about_ca_system_score_gemma":0.0006704614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004209499,"about_ca_topic_score_gemma":0.003039118,"domain_scores_codex":[0.9997994,0.00008326799,0.000008944497,0.00003083288,0.00003365974,0.00004395474],"domain_scores_gemma":[0.9993386,0.000457303,0.00007809249,0.00002391986,0.00007117241,0.00003089868],"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":[0.00002121973,0.00002377653,0.0002766391,0.00001842837,0.0000188272,0.00002594427,0.000006194499,0.9950675,0.0006444735,0.0006688251,0.0001065176,0.003121725],"study_design_scores_gemma":[0.000004699362,0.00001578585,0.00006110778,0.000002286515,0.000002819651,0.000002683178,0.000005030115,0.9994584,0.0001879957,0.0001760914,0.00008196588,0.000001154468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5256835,0.001553717,0.4557331,0.0006555858,0.0001183372,0.0001332917,0.0002361409,0.0003969897,0.01548933],"genre_scores_gemma":[0.9255045,0.000226069,0.07141893,0.0001327682,0.00001482416,0.0001215108,0.0001143007,0.00003577715,0.002431465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004209499,"threshold_uncertainty_score":0.008369982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006067833754236363,"score_gpt":0.2129582166462158,"score_spread":0.2068903828919795,"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."}}