{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002607798,0.0006136798,0.000853806,0.001411948,0.0005266399,0.001761263,0.001153409,0.0012975,0.00189863],"category_scores_gemma":[0.0102581,0.0004407985,0.0006242468,0.0007919673,0.00090871,0.002495167,0.001386208,0.001701346,0.000489743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001666809,"about_ca_system_score_gemma":0.001121508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007227893,"about_ca_topic_score_gemma":0.005414616,"domain_scores_codex":[0.998419,0.0006802437,0.00009098513,0.0003175042,0.0003115574,0.0001806998],"domain_scores_gemma":[0.9938079,0.003823316,0.0006513781,0.0006360002,0.0009458056,0.0001357623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002897356,0.000112359,0.003666638,0.00008467699,0.0001033956,0.00009855064,0.0001170372,0.8429381,0.001568035,0.01346111,0.001244742,0.1363156],"study_design_scores_gemma":[0.000002524149,0.000006067558,0.0001058602,0.00000394804,0.000003032959,0.000004756045,0.000004199157,0.9949734,0.0003631443,0.004453633,0.00007667381,0.000002700094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1082774,0.0007803927,0.8843976,0.001164168,0.00009561376,0.00006991197,0.0002344416,0.001458696,0.003521834],"genre_scores_gemma":[0.9554681,0.0001370455,0.04245707,0.00009533272,0.00003706071,0.00003253576,0.0001524606,0.00002257193,0.001597747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007227893,"threshold_uncertainty_score":0.01437163,"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."}}