{"id":"W3093675825","doi":"10.1080/00295450.2020.1794436","title":"A Radiation-Tolerant Wireless Communication System for Severe Accident Monitoring Without Relying on Rad-Hardened Electronic Components","year":2020,"lang":"en","type":"article","venue":"Nuclear Technology","topic":"Radiation Effects in Electronics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Dose rate; Nuclear power plant; Computer science; Nuclear power; Wireless; Electronic systems; Radiation monitoring; Accident (philosophy); Radiation; Reliability engineering; Engineering; Telecommunications; Medical physics; Electronic engineering; Physics","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":[0.0002558086,0.0003975393,0.0003119418,0.0004269065,0.0002570474,0.0003281726,0.0008385969,0.0004852768,0.001926304],"category_scores_gemma":[0.0004261224,0.000172625,0.0002258976,0.0002694638,0.000139871,0.0005671857,0.0003252777,0.0002557932,0.0008342949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001954321,"about_ca_system_score_gemma":0.0002449364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003092669,"about_ca_topic_score_gemma":0.0004155792,"domain_scores_codex":[0.9997489,0.0000434347,0.00002022446,0.00007772607,0.00008630956,0.00002346017],"domain_scores_gemma":[0.9996576,0.00004264001,0.00008711005,0.00005999772,0.0001310047,0.00002163846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003127625,0.0001104587,0.003414865,0.0004030523,0.00005927086,0.0004641212,0.0002161896,0.004071458,0.8289368,0.001502306,0.002961281,0.1575474],"study_design_scores_gemma":[0.000166555,0.00527251,0.02547368,0.0001177477,0.0003862037,0.005326223,0.0001695645,0.1293117,0.7580026,0.0008070245,0.07483182,0.0001344357],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2490641,0.0009129326,0.737825,0.0002781167,0.0002529979,0.0002909548,0.0002538849,0.005650045,0.005471946],"genre_scores_gemma":[0.8684358,0.0003471259,0.1235832,0.0002442182,0.00007984755,0.0002101892,0.0002345107,0.00008559246,0.006779551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001926304,"threshold_uncertainty_score":0.006444097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01035108117818556,"score_gpt":0.2206172365905965,"score_spread":0.2102661554124109,"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."}}