{"id":"W4400219447","doi":"10.1515/nanoph-2024-0269","title":"Inverse design of color routers in CMOS image sensors: toward minimizing interpixel crosstalk","year":2024,"lang":"en","type":"article","venue":"Nanophotonics","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Institute for Information and Communications Technology Promotion; Korea Semiconductor Research Consortium; Ministry of Culture, Sports and Tourism; Ministry of Science and ICT, South Korea; Ministry of Trade, Industry and Energy","keywords":"Pixel; Miniaturization; Computer science; Router; Crosstalk; Artificial intelligence; Optoelectronics; Optics; Materials science; Physics; Nanotechnology; Computer network","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002158889,0.0002171255,0.0002837135,0.0001818149,0.00001929317,0.00009748608,0.0001730732,0.000113843,0.00004783203],"category_scores_gemma":[0.00005255485,0.0002261269,0.0001028129,0.0004301795,0.00008911323,0.0002050672,0.00004531603,0.0002763678,0.00006906505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002040993,"about_ca_system_score_gemma":0.00006829383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004872326,"about_ca_topic_score_gemma":0.0000148664,"domain_scores_codex":[0.9988303,0.0000330306,0.0003713722,0.0002528635,0.0001659684,0.0003464381],"domain_scores_gemma":[0.9995019,0.0001422468,0.00002599653,0.0002315749,0.00003305726,0.00006524933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008198054,0.00006076012,0.0001394559,0.0009844616,0.00012479,0.0005782704,0.01279008,0.119384,0.8581924,0.0001253035,0.005150226,0.002388273],"study_design_scores_gemma":[0.0003871966,0.00004402594,0.00004453887,0.0003507441,0.00002317439,0.00002690228,0.0007984095,0.8621114,0.1301765,0.00006220762,0.005704476,0.0002703876],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931387,0.0007933284,0.003192112,0.00008992673,0.0009903344,0.0002945256,0.00003442289,0.000427074,0.00103952],"genre_scores_gemma":[0.9762824,0.0002201871,0.02310892,0.00005520223,0.00002286404,0.00001972963,0.000005028156,0.0000768299,0.0002088632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7427274,"threshold_uncertainty_score":0.9221188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01512250572862859,"score_gpt":0.2362694142932508,"score_spread":0.2211469085646222,"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."}}