{"id":"W2091447749","doi":"10.13182/nt13-1","title":"Deployment Strategies for Wireless Sensor Networks in Nuclear Power Plants","year":2014,"lang":"en","type":"article","venue":"Nuclear Technology","topic":"Nuclear and radioactivity studies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; University Network of Excellence in Nuclear Engineering","keywords":"Workaround; Wireless sensor network; Wireless; Computer science; Software deployment; Containment (computer programming); Nuclear power; Wireless network; Key distribution in wireless sensor networks; Nuclear power plant; Transmission (telecommunications); Computer network; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00008684449,0.0001804361,0.0002932989,0.0002156001,0.0000918378,0.00003096044,0.0001981869,0.0002936562,0.00002691587],"category_scores_gemma":[0.00001297725,0.0001810745,0.00005127566,0.0001544514,0.0001110485,0.00008756168,0.00005939194,0.0002975109,0.00006484949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006397937,"about_ca_system_score_gemma":0.000003451485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008698656,"about_ca_topic_score_gemma":0.00004519363,"domain_scores_codex":[0.9990994,0.00001362094,0.0001727844,0.0002211347,0.00006993474,0.0004231775],"domain_scores_gemma":[0.9996267,0.00004662425,0.00002517222,0.0002514791,0.00001519753,0.00003480262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005886611,0.0007569002,0.003839098,0.0005443558,0.001077113,0.0001356763,0.005621125,0.0789047,0.08228476,0.4820059,0.08650824,0.2577335],"study_design_scores_gemma":[0.002537863,0.0006881625,0.004748764,0.0001358631,0.0000372225,0.00008485398,0.009644437,0.4384807,0.0005407971,0.004378507,0.5375885,0.001134415],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896971,0.0001252182,0.001419709,0.0005915788,0.0003953438,0.0002597188,0.000006181624,0.00157026,0.005934875],"genre_scores_gemma":[0.9985184,0.0001089636,0.001080532,0.0001000968,0.00005278271,0.00001296023,0.000001089866,0.0001054316,0.00001971019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4776274,"threshold_uncertainty_score":0.7384003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005897007667124731,"score_gpt":0.1991236230646941,"score_spread":0.1932266153975694,"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."}}