{"id":"W2607615670","doi":"10.1038/s41598-017-08279-1","title":"Invisible Trojan-horse attack","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Office of Naval Research; Industry Canada","keywords":"Trojan horse; Horse; Computer science; Trojan; Computer security; Virology; Computational biology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005463022,0.0003039675,0.0004042421,0.0002981213,0.0003634175,0.0004975174,0.0006329616,0.0007586177,0.002845859],"category_scores_gemma":[0.003158115,0.0001052542,0.0003599481,0.0001545136,0.001167199,0.0009681078,0.0009736221,0.0009688294,0.0003772689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003178792,"about_ca_system_score_gemma":0.0002872093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000300366,"about_ca_topic_score_gemma":0.0001614763,"domain_scores_codex":[0.9991285,0.0001889341,0.00002515861,0.0001141578,0.0003531176,0.0001900917],"domain_scores_gemma":[0.9983162,0.0008011935,0.0002629949,0.0004190684,0.0001294087,0.00007126978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001254975,0.0004725194,0.009154958,0.0003351554,0.0002093612,0.00179331,0.0006667387,0.1300042,0.518241,0.3026058,0.003002709,0.03225919],"study_design_scores_gemma":[0.00008114157,0.0008917495,0.001740783,0.00003442546,0.00004645733,0.0004474105,0.0000704092,0.7933863,0.1769162,0.02145094,0.004886468,0.00004754407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8951839,0.0003292869,0.08429932,0.0005304453,0.0001510802,0.00006497469,0.00009276516,0.0004521645,0.01889606],"genre_scores_gemma":[0.9954448,0.00003497043,0.003794916,0.00003782528,0.000006532236,0.00001027488,0.00001387031,0.00001406801,0.0006426709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002845859,"threshold_uncertainty_score":0.009520352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03028359094182716,"score_gpt":0.2878248907842713,"score_spread":0.2575412998424442,"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."}}