{"id":"W4392593881","doi":"10.1002/lpor.202300729","title":"An RGB‐Achromatic Aplanatic Metalens","year":2024,"lang":"en","type":"article","venue":"Laser & Photonics Review","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Wuhan National Laboratory for Optoelectronics; Nanyang Technological University; National Natural Science Foundation of China; College of Family Physicians of Canada","keywords":"Achromatic lens; Optics; RGB color model; Chromatic scale; Chromatic aberration; Materials science; Optoelectronics; Physics; Computer science; Computer vision","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005567168,0.0001983343,0.00006879448,0.000192561,0.00009780331,0.0002239995,0.0002410764,0.0002333013,0.0008892356],"category_scores_gemma":[0.00004207838,0.00009412686,0.000098357,0.0001579877,0.0001360418,0.0001719912,0.000167946,0.0001794647,0.0003511488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000224198,"about_ca_system_score_gemma":0.00008494248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003953415,"about_ca_topic_score_gemma":0.0007013715,"domain_scores_codex":[0.9999526,0.000003386016,0.000002401104,0.00001265652,0.00002181485,0.000007230241],"domain_scores_gemma":[0.9999728,0.000004312425,0.000008808176,0.000003075773,0.000007427782,0.000003608259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002076413,0.000008845307,0.00009322779,0.0001053379,0.000004830976,0.00009537666,0.00001233006,0.0001356618,0.9887517,0.001540981,0.0001945331,0.009036422],"study_design_scores_gemma":[0.000005590524,0.00009380362,0.0009105363,0.000008093424,0.000007527429,0.0005242874,0.00001933627,0.001566384,0.9804536,0.0001915712,0.01621278,0.000006499108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9049676,0.01087168,0.02997593,0.0002713068,0.0001393992,0.00005586338,0.0002261904,0.0004332561,0.05305882],"genre_scores_gemma":[0.9711797,0.002080914,0.01598838,0.00009977551,0.00001540582,0.00001274051,0.00008542851,0.00001582968,0.01052187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008892356,"threshold_uncertainty_score":0.002974808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02092465545971101,"score_gpt":0.3234214954530146,"score_spread":0.3024968399933036,"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."}}