{"id":"W4408294939","doi":"10.21203/rs.3.rs-6132037/v1","title":"Neuromorphic Photonic Computing with an Electro-Optic Analog Memory","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Neuromorphic engineering; Computer science; Photonics; Computer architecture; Optoelectronics; Artificial neural network; Artificial intelligence; Physics","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":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00255556,0.0005522878,0.0006978827,0.0009113484,0.0009713312,0.001376875,0.004919725,0.0003610747,0.00001794629],"category_scores_gemma":[0.0001202932,0.0004513745,0.0002172592,0.002253641,0.0002414518,0.0003063599,0.007373339,0.004940667,0.00002516272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002760257,"about_ca_system_score_gemma":0.00155473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003833146,"about_ca_topic_score_gemma":0.0000902443,"domain_scores_codex":[0.9919313,0.00167206,0.0005432911,0.002069235,0.001899863,0.001884274],"domain_scores_gemma":[0.9946853,0.0009124125,0.0002199344,0.002775515,0.0009383346,0.0004685175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004024718,0.00147746,0.003298158,0.006506734,0.0006528333,0.006965306,0.002371816,0.7915801,0.001455635,0.03087391,0.006459529,0.1479561],"study_design_scores_gemma":[0.0004077893,0.001053208,0.001345009,0.001653883,0.00001356477,0.00009017526,0.00005205448,0.9907741,0.0006378844,0.00285602,0.0005501438,0.0005661765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8544971,0.003567421,0.1238165,0.003446042,0.001378748,0.003428809,0.00002327014,0.001475138,0.008367043],"genre_scores_gemma":[0.9825413,0.0001513315,0.01568469,0.0001902617,0.0005645587,0.00005641372,0.00004884576,0.00004834703,0.0007142643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.199194,"threshold_uncertainty_score":0.9997938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06231058111726518,"score_gpt":0.3507907241492924,"score_spread":0.2884801430320272,"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."}}