{"id":"W1998438348","doi":"10.1049/el:20010378","title":"Fault tolerant computation of large inner products","year":2001,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computation; Fault tolerance; Redundancy (engineering); Computer science; Overhead (engineering); Replication (statistics); Product (mathematics); Parallel computing; Distributed computing; Algorithm; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004002845,0.0003496189,0.0004819174,0.0004656898,0.0004643365,0.0007812417,0.0008708672,0.0003751277,0.002045621],"category_scores_gemma":[0.001779658,0.0002098591,0.0002958454,0.0004881286,0.0009099428,0.001535823,0.001058131,0.000756146,0.0006144669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003702885,"about_ca_system_score_gemma":0.0004501696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002065365,"about_ca_topic_score_gemma":0.0002711701,"domain_scores_codex":[0.9994695,0.00007605925,0.0000366264,0.00006809519,0.0002776552,0.00007216573],"domain_scores_gemma":[0.9989305,0.0002746759,0.0001489229,0.0004410777,0.0001556153,0.0000490702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000986503,0.0001108732,0.000595701,0.0002798073,0.0000562378,0.0007533146,0.0004217063,0.07912654,0.3382802,0.2460364,0.005138845,0.328214],"study_design_scores_gemma":[0.0001104623,0.0006997366,0.0003848972,0.00003837256,0.00004653679,0.0009686321,0.00008895771,0.4255293,0.4538609,0.09831797,0.01988782,0.00006636194],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.205397,0.0005770071,0.7799172,0.0003635595,0.0003403232,0.000061637,0.00005573794,0.003229078,0.01005833],"genre_scores_gemma":[0.8554152,0.0002962307,0.1373894,0.00010006,0.0001413768,0.00004023536,0.00006555617,0.0001695878,0.006382552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002045621,"threshold_uncertainty_score":0.006843328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006317953481910144,"score_gpt":0.2260834932446848,"score_spread":0.2197655397627746,"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."}}