{"id":"W4410993176","doi":"10.1364/ofc.2025.th1c.3","title":"Photonic Transposed Convolution Accelerator Based on Micro-combs","year":2025,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Convolution (computer science); Computer science; Photonics; Physics; Optics; Artificial intelligence","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":[0.0002380846,0.0001661336,0.0002519908,0.0001655194,0.0002817887,0.0004265005,0.0007021131,0.0004432161,0.002965409],"category_scores_gemma":[0.0005068937,0.0001598977,0.0001331835,0.0001820652,0.0004764071,0.000708393,0.0005394873,0.0006667163,0.0004191528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003728331,"about_ca_system_score_gemma":0.0004087303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000450243,"about_ca_topic_score_gemma":0.0009329986,"domain_scores_codex":[0.9998282,0.00001476886,0.000006319126,0.00002187079,0.00009892763,0.0000298152],"domain_scores_gemma":[0.9997148,0.00009425212,0.00004694509,0.00004481309,0.00006141971,0.00003777512],"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":[0.0007271981,0.0003519036,0.001668846,0.0001810509,0.00005288943,0.0004602619,0.0002061947,0.01849943,0.8191746,0.07249168,0.004261157,0.08192465],"study_design_scores_gemma":[0.00006597314,0.0005064241,0.0007507012,0.00001932639,0.00001511125,0.000313,0.00002617934,0.4402611,0.5414997,0.004939764,0.0115567,0.00004602384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7072257,0.0007609716,0.262937,0.001342161,0.0007093391,0.0001429248,0.0002166483,0.003508173,0.02315703],"genre_scores_gemma":[0.9003824,0.0001026918,0.09410744,0.0001134401,0.00004306868,0.00005691239,0.00005249489,0.00004462293,0.005096959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002965409,"threshold_uncertainty_score":0.009920299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008575882815945,"score_gpt":0.2349597726283063,"score_spread":0.2248740138001468,"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."}}