{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001297243,0.0001109807,0.000122999,0.0002155869,0.001555251,0.00390978,0.001168607,0.0000466517,0.00009395549],"category_scores_gemma":[0.0001326251,0.00009562852,0.000122674,0.000297997,0.0002889112,0.002350272,0.0003669527,0.00009049392,0.0003707304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001398855,"about_ca_system_score_gemma":0.0001065901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001358929,"about_ca_topic_score_gemma":0.0000112125,"domain_scores_codex":[0.9982045,0.00001785606,0.000393757,0.0005126945,0.0005645575,0.0003066781],"domain_scores_gemma":[0.9958272,0.000009365387,0.0004967727,0.003337646,0.0001637668,0.0001652341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000517996,0.0001984437,0.02490057,0.00005138454,0.00004014532,0.0007782672,0.002820498,0.0001201926,0.004079872,0.1490318,0.729341,0.08863268],"study_design_scores_gemma":[0.0001931651,0.00003130524,0.01381139,0.00002847206,0.000005064892,0.0002633783,0.00004991873,0.01365858,0.01109766,0.05893895,0.9015693,0.0003528266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5533302,0.000134181,0.1384109,0.003335161,0.04630871,0.0005645743,0.000001716211,0.0007992581,0.2571153],"genre_scores_gemma":[0.9898534,0.000002566837,0.006381992,0.0001669871,0.00004918051,0.00001066721,0.000004844899,0.000005068084,0.003525323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4365231,"threshold_uncertainty_score":0.9997446,"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."}}