{"id":"W4408365309","doi":"10.3390/electronics14061113","title":"Multitask Learning for Authenticity and Authorship Detection","year":2025,"lang":"en","type":"article","venue":"Electronics","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multi-task learning; Computer science; Artificial intelligence; Human–computer interaction; Data science; Natural language processing; Engineering; Task (project management); Systems engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0006305836,0.00003720844,0.00004819951,0.00005244681,0.0005343532,0.00007410369,0.0000429162,0.00006282137,0.00001586283],"category_scores_gemma":[0.0009041092,0.00003797277,0.00002022435,0.0001398463,0.00003388571,0.0001345312,0.00000765294,0.0001141613,0.000004434452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008398153,"about_ca_system_score_gemma":0.0001322364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003041894,"about_ca_topic_score_gemma":0.0008011467,"domain_scores_codex":[0.9995211,0.00005320926,0.00007542072,0.00006206348,0.00007488971,0.0002133159],"domain_scores_gemma":[0.9997573,0.00009037676,0.00003163931,0.00003507313,0.00004190338,0.00004374019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006598534,0.00002955019,0.0005323201,0.00005218844,0.00003539375,8.371182e-8,0.04975128,0.00006664117,0.001989396,0.3271396,0.001131418,0.6192062],"study_design_scores_gemma":[0.0007527741,0.000162102,0.00364728,0.00002338748,0.00003676983,4.600621e-7,0.006417256,0.01168603,0.00900367,0.04291496,0.9251627,0.0001925591],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9127712,0.0009121555,0.05390536,0.001856031,0.0003319453,0.0004924054,0.000001029243,0.0001952592,0.02953463],"genre_scores_gemma":[0.9910357,0.0001768115,0.0001278853,0.0001304219,0.00003077218,0.000003012703,0.000001453727,0.000002308317,0.008491645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9240313,"threshold_uncertainty_score":0.4109867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01830068670603032,"score_gpt":0.3311849632056816,"score_spread":0.3128842764996513,"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."}}