{"id":"W4391956031","doi":"10.1002/lpor.202300500","title":"Inverse Design of Photonic Systems","year":2024,"lang":"en","type":"article","venue":"Laser & Photonics Review","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Universities Space Research Association","keywords":"Photonics; Computer science; Network topology; Waveform; Inverse; Component (thermodynamics); Nanophotonics; Inverse problem; Electronic engineering; Design tool; Computer engineering; Engineering; Mathematics; Telecommunications; Physics; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007236211,0.0004803114,0.0004614059,0.0005715758,0.0004176461,0.001461467,0.0006748774,0.000886692,0.003270375],"category_scores_gemma":[0.0009290737,0.0004161165,0.0005516231,0.0002883963,0.00188363,0.0008540945,0.001053818,0.001066046,0.000511315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008659514,"about_ca_system_score_gemma":0.0006764031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003844445,"about_ca_topic_score_gemma":0.0003403516,"domain_scores_codex":[0.9995825,0.0001240289,0.00001665853,0.00006918808,0.0001747654,0.00003288467],"domain_scores_gemma":[0.9997256,0.000125991,0.00003693728,0.00005099465,0.00004897793,0.00001145345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002870841,0.00004751896,0.0002450702,0.0003314869,0.00003125811,0.00007143809,0.0001062604,0.2371677,0.02566508,0.6903493,0.00127986,0.04467638],"study_design_scores_gemma":[0.00002471332,0.00007971861,0.0001165853,0.0000583473,0.00001027706,0.00009774745,0.00003383821,0.7847829,0.009739429,0.1851138,0.01991686,0.00002571137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0117105,0.0009068194,0.9588439,0.000404111,0.00009935391,0.00008164426,0.0000549266,0.0001485837,0.02775014],"genre_scores_gemma":[0.4655335,0.001878976,0.5220852,0.000227502,0.00007896635,0.0004116123,0.0001327139,0.00009413722,0.009557427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003270375,"threshold_uncertainty_score":0.01094055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02414633063169232,"score_gpt":0.2506390403259664,"score_spread":0.2264927096942741,"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."}}