{"id":"W4409576553","doi":"10.61091/jcmcc127a-131","title":"Inference of Discourse Hierarchical Features in English Corpus Based on Multilayer Bayesian Modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inference; Computer science; Artificial intelligence; Natural language processing; Bayesian inference; Bayesian probability; Linguistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004077089,0.0009142077,0.001155387,0.003754437,0.001124675,0.002055055,0.001591023,0.001005794,0.002683954],"category_scores_gemma":[0.01936584,0.0009872401,0.001442111,0.002524222,0.0009518811,0.004618507,0.002012097,0.002064212,0.0006959912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509503,"about_ca_system_score_gemma":0.001830918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02346943,"about_ca_topic_score_gemma":0.02965315,"domain_scores_codex":[0.9965999,0.001299509,0.0002608643,0.0009764316,0.0006549953,0.0002083834],"domain_scores_gemma":[0.9931288,0.004884529,0.0005613845,0.0004369286,0.0008635164,0.0001248734],"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":[0.0006973388,0.0005113417,0.06415018,0.0008497152,0.0006023056,0.001140002,0.008645433,0.2277957,0.01357132,0.1896372,0.009982241,0.4824173],"study_design_scores_gemma":[0.00002926249,0.00004231138,0.01061841,0.00009279365,0.0001340081,0.0001255995,0.0004233734,0.9070776,0.002226066,0.07370321,0.00545659,0.00007076355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04761271,0.0004193604,0.9473901,0.0003803691,0.00002794578,0.0001505054,0.001180173,0.0004468733,0.00239189],"genre_scores_gemma":[0.6090999,0.0007722842,0.3792754,0.0002097919,0.0001155679,0.0008457295,0.004505962,0.0001861513,0.004989124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02346943,"threshold_uncertainty_score":0.04666561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000884566337515,"score_gpt":0.2906160256711784,"score_spread":0.2806071800078032,"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."}}