{"id":"W4353048074","doi":"10.1109/jetcas.2023.3251059","title":"Guest Editorial Unconventional Computing Techniques for Emerging Technology Applications","year":2023,"lang":"en","type":"editorial","venue":"IEEE Journal on Emerging and Selected Topics in Circuits and Systems","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Technical University of Athens; Chengdu University of Information Technology","keywords":"Computer science; Emerging technologies; Data science; Nanotechnology; Materials science; 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":[0.001324615,0.0003544314,0.0006316364,0.0008078298,0.0007896278,0.0006610695,0.0006799758,0.0008064286,1.697904e-7],"category_scores_gemma":[0.0003137076,0.0003192457,0.00009508964,0.0009967894,0.00005138872,0.0001474883,0.0001424359,0.001846009,8.911463e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001247737,"about_ca_system_score_gemma":0.0001930452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003159368,"about_ca_topic_score_gemma":0.00001394,"domain_scores_codex":[0.9969965,0.0001416908,0.0009100012,0.0006783063,0.0006684388,0.0006050271],"domain_scores_gemma":[0.9972265,0.001037658,0.0005881631,0.000274287,0.000734221,0.0001391106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006762063,0.00005292302,0.00009138989,0.0004025587,0.0001014154,0.00003396722,0.0001621329,0.001241455,0.00009670005,0.003022653,0.9588745,0.03591351],"study_design_scores_gemma":[0.0004939847,0.000213488,0.000008685003,0.001118427,0.00001817453,0.00005228822,0.00003698072,0.03493015,0.00001432721,0.001474266,0.9612547,0.0003845037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0003433198,0.001062304,0.05956018,0.0005278951,0.9376673,0.0005064461,0.00001314309,0.0002762178,0.00004316173],"genre_scores_gemma":[0.003669509,0.00088257,0.0004515821,0.00001123668,0.9945503,0.00007140368,0.00002713914,0.00004551448,0.0002906741],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.05910859,"threshold_uncertainty_score":0.999926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01703583836323173,"score_gpt":0.29321883935889,"score_spread":0.2761830009956582,"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."}}