{"id":"W7161136033","doi":"10.1109/ispdc67428.2025.00019","title":"FNNS-EC: Federated Non-performing-node-resilient Neural Selector with Energy Constraints","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Energy (signal processing); Artificial neural network; Field (mathematics); Feature (linguistics); Energy consumption; Constraint (computer-aided design)","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":[0.0001256579,0.0007713457,0.0006687178,0.0002536802,0.0006903217,0.0002174375,0.00030836,0.0002258994,0.0005313088],"category_scores_gemma":[0.00004342598,0.0006861244,0.0001404061,0.001055033,0.00023189,0.000377924,0.0001499882,0.0007070103,0.00002914251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002129618,"about_ca_system_score_gemma":0.000218841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004590569,"about_ca_topic_score_gemma":0.00007332653,"domain_scores_codex":[0.996921,0.00006359341,0.0007382567,0.0008125046,0.00029193,0.001172723],"domain_scores_gemma":[0.9987811,0.0002412426,0.0001121543,0.0003925406,0.0001976499,0.0002753205],"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":[0.0005344771,0.0001967516,0.0010498,0.0005808757,0.0005243161,0.0002983398,0.0002519394,0.7134705,0.1432212,0.002887373,0.001352302,0.1356321],"study_design_scores_gemma":[0.00159212,0.0002758567,0.0003450885,0.0004358658,0.00008472159,0.00008399328,0.0002065068,0.5879757,0.4068678,0.00004561132,0.001346926,0.0007397763],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6975219,0.0005369328,0.2587967,0.0002389306,0.001583033,0.0004449114,0.00001028701,0.0006166902,0.04025064],"genre_scores_gemma":[0.9906393,0.0000537204,0.001479648,0.0008138262,0.0001809415,0.00002146233,0.0000151519,0.00007658896,0.006719421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2931174,"threshold_uncertainty_score":0.999559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006149365833820038,"score_gpt":0.220415481277664,"score_spread":0.2142661154438439,"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."}}