{"id":"W4383956134","doi":"10.1145/3607533","title":"Survey on Activation Functions for Optical Neural Networks","year":2023,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Polytechnique Montréal","funders":"","keywords":"Computer science; Activation function; Artificial neural network; Photonics; Context (archaeology); Key (lock); Electronic engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007030274,0.0007931725,0.001775109,0.0003821742,0.0008310125,0.0006960496,0.00349934,0.0005262074,0.000001867428],"category_scores_gemma":[0.002306663,0.0006552056,0.0008003301,0.002332458,0.00006276859,0.0001896452,0.002227259,0.001234932,0.00008182073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001499477,"about_ca_system_score_gemma":0.0001684509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001152945,"about_ca_topic_score_gemma":0.00004225988,"domain_scores_codex":[0.9932182,0.002410014,0.00118702,0.001527851,0.0004986047,0.001158336],"domain_scores_gemma":[0.9750645,0.02172981,0.0006985191,0.001995013,0.000277995,0.0002342008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002384874,0.00004530825,0.00002419064,0.0007500359,0.000114111,0.000007862526,0.000007205971,0.06352396,1.403388e-8,0.0002877456,0.006913765,0.9283234],"study_design_scores_gemma":[0.0002299852,0.0002196689,0.001791093,0.004074171,0.00006548316,0.00001217457,0.000001130911,0.918191,1.317956e-7,0.0001036045,0.07446208,0.0008494773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.00002146643,0.2303467,0.7626988,0.00012182,0.004638284,0.001172854,0.00002644158,0.00093062,0.00004301948],"genre_scores_gemma":[0.003053819,0.9642138,0.01654354,0.0006163965,0.00921059,0.0002275947,0.003574986,0.000735158,0.001824101],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.927474,"threshold_uncertainty_score":0.9995899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1592442093163138,"score_gpt":0.3620828857349167,"score_spread":0.2028386764186029,"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."}}