{"id":"W2576057564","doi":"10.1002/dac.3259","title":"Authorship verification using deep belief network systems","year":2017,"lang":"en","type":"article","venue":"International Journal of Communication Systems","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Victoria","funders":"","keywords":"Computer science; Merge (version control); Bernoulli's principle; Gaussian; Word error rate; Basis (linear algebra); Artificial intelligence; Block (permutation group theory); Natural language processing; Data mining; Theoretical computer science; Algorithm; Information retrieval; Mathematics","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":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.00387107,0.000140356,0.0002740407,0.0001871878,0.0006793104,0.001934318,0.005737888,0.000135383,0.00000564303],"category_scores_gemma":[0.000445938,0.0001326557,0.0001277166,0.0001168582,0.00008066616,0.001693791,0.0004343135,0.0003900018,0.00002930353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002515867,"about_ca_system_score_gemma":0.0001603071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001323095,"about_ca_topic_score_gemma":0.000004244558,"domain_scores_codex":[0.9971159,0.0006664798,0.001000339,0.0001640669,0.0008511263,0.0002021498],"domain_scores_gemma":[0.9934529,0.0002244149,0.002852749,0.001478049,0.0018533,0.0001385885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006761828,0.0001053317,0.01211222,0.00001567852,0.0003394105,0.000026631,0.001610542,0.1311155,0.000690338,0.8454764,0.001085727,0.007354599],"study_design_scores_gemma":[0.000931877,0.00006312626,0.01153522,0.000867132,0.00003511418,0.0006194124,0.000314118,0.9171084,0.0002333189,0.005628145,0.06230814,0.0003560578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01312815,0.005524485,0.9681215,0.002611927,0.008133923,0.0001954984,0.000004026901,0.00005364825,0.002226817],"genre_scores_gemma":[0.9870492,0.0002792901,0.01164362,0.00005395079,0.0007929284,0.000006604002,0.000007278164,0.00001178836,0.0001553017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9739211,"threshold_uncertainty_score":0.9996415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09828633259928508,"score_gpt":0.3644836674045816,"score_spread":0.2661973348052965,"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."}}