{"id":"W3180605750","doi":"10.1364/oe.439341","title":"Universal linear optics by programmable multimode interference","year":2021,"lang":"en","type":"preprint","venue":"Optics Express","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Moonshot Research and Development Program; Division of Electrical, Communications and Cyber Systems; Natural Sciences and Engineering Research Council of Canada; National Science Foundation; Advanced Research Projects Agency; Defense Advanced Research Projects Agency","keywords":"Multi-mode optical fiber; Optics; Interferometry; Modulation (music); Computer science; Topology (electrical circuits); Physics; Algorithm; Electronic engineering; Mathematics; Optical fiber; Engineering","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":[0.0003940082,0.0004830355,0.0002402204,0.0004347335,0.0003635839,0.0006261211,0.0008169311,0.0003155367,0.001882051],"category_scores_gemma":[0.000755904,0.0002312349,0.000304989,0.0003625529,0.001049664,0.0006241067,0.001355629,0.0006838262,0.0004821545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000631257,"about_ca_system_score_gemma":0.000392503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003315785,"about_ca_topic_score_gemma":0.0005348782,"domain_scores_codex":[0.9996257,0.00008206173,0.00001252331,0.00006050478,0.0001715016,0.00004779484],"domain_scores_gemma":[0.9997336,0.0001005174,0.00003517158,0.00008497989,0.00003080604,0.00001501553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001443317,0.00007660749,0.000558209,0.0001502496,0.00003176242,0.000107212,0.0002912353,0.05181641,0.1274144,0.5660061,0.001815717,0.2515877],"study_design_scores_gemma":[0.00005309377,0.0002016886,0.0002290244,0.00003508045,0.00001434898,0.0002297008,0.0000495308,0.6629258,0.1815991,0.135053,0.01957062,0.00003888385],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02303495,0.0001092351,0.9677767,0.00008467187,0.00002975858,0.00004420341,0.00002656388,0.0006650074,0.008228995],"genre_scores_gemma":[0.2934112,0.0001323427,0.7026806,0.00007884116,0.00001904502,0.0001410445,0.00005762831,0.0001264553,0.00335269],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001882051,"threshold_uncertainty_score":0.006296098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01634452926468032,"score_gpt":0.2404055500291139,"score_spread":0.2240610207644336,"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."}}