{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002340832,0.0006059777,0.0006910199,0.001011148,0.001729854,0.007850931,0.00285372,0.000790929,0.0001578593],"category_scores_gemma":[0.001275589,0.0005990505,0.0003956,0.001136877,0.0005646871,0.004063298,0.001387065,0.001523182,0.0002076441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003617973,"about_ca_system_score_gemma":0.001266542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007321114,"about_ca_topic_score_gemma":0.0001162029,"domain_scores_codex":[0.9931173,0.0001040848,0.001062219,0.003154609,0.001723353,0.0008384892],"domain_scores_gemma":[0.9877695,0.0000413626,0.002223908,0.008550622,0.00106641,0.0003481432],"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":[0.000001467586,0.00004189038,0.00001699297,0.0000341809,0.00001775982,0.0007440178,0.00006596633,0.00001289841,0.00003291418,0.00006028318,0.9728961,0.02607554],"study_design_scores_gemma":[0.00005183095,0.00005416991,0.00003511183,0.0001845587,0.00001538065,0.001098312,0.000007396327,0.0007459696,0.0008756638,0.02299461,0.9733043,0.000632672],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.000004633672,0.0004321708,0.1327845,0.0004601833,0.6626356,0.0005178236,0.000001260057,0.00183602,0.2013278],"genre_scores_gemma":[0.0003011765,0.00004513343,0.01345573,0.0001527733,0.001484459,0.0001650231,0.0001599432,0.00007601986,0.9841597],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.782832,"threshold_uncertainty_score":0.9996461,"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."}}