{"id":"W4409605060","doi":"10.61091/jcmcc127b-267","title":"Construction of foreign translation and language communication system with Chinese characteristics based on multi-source information fusion","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Translation (biology); Computer science; Natural language processing; Linguistics; Information fusion; Artificial intelligence; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008365517,0.0001456282,0.000363803,0.0003253464,0.0001976428,0.00009816888,0.0003001736,0.0001323626,4.621715e-7],"category_scores_gemma":[0.0001713583,0.000117474,0.00004403857,0.0003301922,0.00009382238,0.0003333427,0.00007324858,0.0002683571,2.215177e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004583527,"about_ca_system_score_gemma":0.0001325664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008008926,"about_ca_topic_score_gemma":2.938708e-7,"domain_scores_codex":[0.9987466,0.00009606863,0.0006831285,0.00009801942,0.0002717415,0.000104422],"domain_scores_gemma":[0.9977087,0.000620054,0.0009555948,0.0002488025,0.0004221513,0.00004465613],"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":[0.0001079452,0.0002026417,0.002285281,0.0004040002,0.0000360578,9.998802e-7,0.001800441,0.00009980065,0.0001655506,0.9762048,0.00000491282,0.01868754],"study_design_scores_gemma":[0.01054651,0.001437658,0.009004569,0.002856256,0.0001331166,0.000162965,0.00345937,0.8679515,0.001248825,0.1025879,0.0001959096,0.0004154728],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5607759,0.0001107552,0.4369547,0.000195984,0.001360308,0.0001818554,0.000001485298,0.00003606907,0.0003828732],"genre_scores_gemma":[0.9407741,0.00001351469,0.05912279,0.0000198472,0.00005842323,0.00000163917,0.000003719516,0.000004966498,0.00000101169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8736169,"threshold_uncertainty_score":0.479045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01040218129396086,"score_gpt":0.2609056621291018,"score_spread":0.2505034808351409,"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."}}