{"id":"W7160845154","doi":"10.1109/spicscon69221.2025.11504247","title":"Authorship Attribution in Bangla Literature: A Comparative Study of Word Embedding and Deep Learning Models","year":2025,"lang":"","type":"article","venue":"","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Deep learning; Bengali; Authorship attribution; Word embedding; Word (group theory); Attribution","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"],"consensus_categories":[],"category_scores_codex":[0.003323252,0.0004510069,0.0008799792,0.0008997139,0.0004661428,0.000550348,0.0005954105,0.0003747403,0.00002978557],"category_scores_gemma":[0.0002084923,0.0004539988,0.0001030204,0.004384138,0.0001294524,0.001247322,0.0007534286,0.001484652,0.000005167889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001825575,"about_ca_system_score_gemma":0.0001522939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009929659,"about_ca_topic_score_gemma":0.000190166,"domain_scores_codex":[0.9943882,0.002196005,0.001191082,0.001074386,0.0004744177,0.0006759483],"domain_scores_gemma":[0.9978594,0.000625385,0.0003852535,0.0004673679,0.0004769299,0.0001856503],"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":[0.0004801009,0.001527117,0.05634,0.0004226443,0.0002265898,0.00005384675,0.296691,0.1028414,0.0002447145,0.4813187,0.00003055136,0.05982328],"study_design_scores_gemma":[0.001807091,0.0004177823,0.01489687,0.0008799981,0.00004628734,0.000005222917,0.00866057,0.9606789,0.0005234089,0.01163148,0.00007828247,0.0003741476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4101314,0.00377188,0.5836828,0.0003087745,0.0003497131,0.0007561611,0.000002994233,0.00006897046,0.0009273437],"genre_scores_gemma":[0.9937498,0.0001150484,0.004670699,0.00006333404,0.00002927758,0.00003550708,0.00001275556,0.000009089846,0.001314488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8578375,"threshold_uncertainty_score":0.9997912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08015275753887222,"score_gpt":0.350387735075677,"score_spread":0.2702349775368048,"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."}}