{"id":"W2769415489","doi":"10.1038/s41598-017-14859-y","title":"Publisher Correction: Invisible Trojan-horse attack","year":2017,"lang":"en","type":"erratum","venue":"Scientific Reports","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Trojan horse; Computer science; Trojan; Computer security; Information retrieval","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":[0.002440203,0.00200607,0.001464388,0.004665629,0.003566066,0.005141431,0.003073154,0.007146029,0.04969765],"category_scores_gemma":[0.04971498,0.0009516372,0.001540192,0.002739825,0.002412476,0.003062729,0.001880738,0.01325606,0.0373113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003245692,"about_ca_system_score_gemma":0.004663887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01132513,"about_ca_topic_score_gemma":0.01437763,"domain_scores_codex":[0.9954417,0.0004155582,0.0006659693,0.000691849,0.002423548,0.0003614642],"domain_scores_gemma":[0.9695049,0.006536616,0.001550199,0.002110594,0.01938993,0.0009077889],"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":[0.00001591656,0.000006519153,0.00006053664,0.000081629,0.000008104116,0.000304962,0.00004574228,0.00003982083,0.00005215992,0.001366127,0.9914597,0.006558681],"study_design_scores_gemma":[0.00001438172,0.00001652635,0.0004008438,0.0002459203,0.0000289057,0.0007337826,0.00008659303,0.0001733458,0.0004525582,0.001435048,0.9963834,0.00002860117],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0002793307,0.001113293,0.001043995,0.0426764,0.9468615,0.00002218194,0.0008988896,0.0005694599,0.006534883],"genre_scores_gemma":[0.02707262,0.01765684,0.008389062,0.09769176,0.3453242,0.0002074367,0.004256214,0.002818777,0.4965831],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04969765,"threshold_uncertainty_score":0.1662552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0256234474318478,"score_gpt":0.2947013164304822,"score_spread":0.2690778689986344,"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."}}