{"id":"W3018235471","doi":"10.1109/aicas48895.2020.9073791","title":"Fault-Tolerant-Driven Clustering for Large Scale Neuromorphic Computing Systems","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crossbar switch; Neuromorphic engineering; Computer science; Cluster analysis; Fault tolerance; Memristor; Artificial neural network; Metric (unit); Set (abstract data type); Computation; Parallel computing; Distributed computing; Computer engineering; Algorithm; Artificial intelligence; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006634762,0.0001723007,0.0002468757,0.00002637705,0.0001507115,0.00004869418,0.0001565879,0.00004880276,0.000008067642],"category_scores_gemma":[0.00001926925,0.0001738226,0.00007198017,0.0001276113,0.000007293746,0.0001213847,0.00007876498,0.0001719675,0.00002488552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001905394,"about_ca_system_score_gemma":0.000003908801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.678237e-7,"about_ca_topic_score_gemma":0.000002364426,"domain_scores_codex":[0.9990027,0.00001732133,0.0002677497,0.0002388372,0.00009053939,0.0003828729],"domain_scores_gemma":[0.999582,0.0001065118,0.00003308408,0.0001158859,0.00002793659,0.0001345975],"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":[0.00001019878,0.000005025134,0.00006568636,0.0003459338,0.00001087155,0.000009819369,0.0004215035,0.9696683,0.02821705,0.0001002863,0.0003892971,0.0007559754],"study_design_scores_gemma":[0.0005002094,0.00004803557,0.00003312614,0.00005250813,0.000008055456,0.00001667406,0.0001819017,0.9891743,0.004567587,0.000004252664,0.005208287,0.0002050359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2778804,0.0001054492,0.7194433,0.000119442,0.0005582785,0.0003159137,0.00001128506,0.0009387889,0.0006272073],"genre_scores_gemma":[0.9948007,0.000004163697,0.004191459,0.0004227651,0.0004669508,0.000006886074,0.000008430268,0.00005288526,0.00004577601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7169203,"threshold_uncertainty_score":0.7088281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04121339554166623,"score_gpt":0.2435503696364316,"score_spread":0.2023369740947653,"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."}}