{"id":"W4414588928","doi":"10.3390/app151910506","title":"Mind the Link: Discourse Link-Aware Hallucination Detection in Summarization","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Privy Council Office","funders":"Institute for Information and Communications Technology Promotion; Ministry of Science and ICT, South Korea; Iran Telecommunication Research Center; National Research Foundation of Korea; National Research Foundation","keywords":"Automatic summarization; Meaning (existential); Representation (politics); Relation (database); Content (measure theory); Semantic relation; Structuring","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":[0.001698975,0.001182745,0.0006588852,0.004399557,0.0005696152,0.001731197,0.001069535,0.001108571,0.003226764],"category_scores_gemma":[0.0129544,0.0002732419,0.0004714657,0.001584193,0.0004094322,0.003322813,0.001710842,0.0008429933,0.001634193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000440963,"about_ca_system_score_gemma":0.0005849707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001494309,"about_ca_topic_score_gemma":0.00200665,"domain_scores_codex":[0.9988992,0.0003254921,0.0001119948,0.0003091597,0.0002827819,0.00007118421],"domain_scores_gemma":[0.99489,0.002206768,0.0009163502,0.0005590196,0.001218937,0.0002089787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001008675,0.0001874948,0.00688487,0.001052206,0.0001935205,0.0004102981,0.001581818,0.005014126,0.04517966,0.00314086,0.01426247,0.921084],"study_design_scores_gemma":[0.0002555282,0.00176625,0.03183018,0.0003591021,0.0007274838,0.00165178,0.003177107,0.6876538,0.1843088,0.03137453,0.05659986,0.0002956274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1132925,0.002606418,0.8296811,0.0006967906,0.0002460602,0.0008681348,0.003279094,0.04466518,0.004664613],"genre_scores_gemma":[0.4337868,0.0005724637,0.5565656,0.0002188774,0.0001821142,0.0003386623,0.004173255,0.0005545324,0.003607666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004399557,"threshold_uncertainty_score":0.01079458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175317348728903,"score_gpt":0.3032145350442628,"score_spread":0.2914613615569737,"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."}}