{"id":"W4409603799","doi":"10.61091/jcmcc127b-227","title":"Research on Computational Methods for Optimizing the Teaching Content of Translation Based on Semantic Association Network Models","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":"Computer science; Association (psychology); Translation (biology); Semantic network; Content (measure theory); Natural language processing; Artificial intelligence; Semantic similarity; Information retrieval; Psychology; Chemistry; Mathematics","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":[0.01280532,0.0001622126,0.000474117,0.0003650242,0.0006753517,0.0001562889,0.0007062756,0.0001902811,5.54926e-7],"category_scores_gemma":[0.001101012,0.000127015,0.0001683708,0.0004742662,0.00006793967,0.0001611529,0.00009959173,0.0008346045,2.251912e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001652808,"about_ca_system_score_gemma":0.0003481414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004697635,"about_ca_topic_score_gemma":1.281925e-7,"domain_scores_codex":[0.9971891,0.0007517565,0.0009182517,0.0002088568,0.0006443631,0.0002876873],"domain_scores_gemma":[0.9809326,0.01676662,0.0009067781,0.0002524162,0.001093059,0.00004855612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007925589,0.0003340531,0.00002922943,0.00007626688,0.00007959712,3.286972e-7,0.0005309277,0.1030537,0.00006097333,0.888789,0.0002559162,0.006710813],"study_design_scores_gemma":[0.001146102,0.00039796,0.00004865358,0.0003010233,0.00002443704,0.000001656322,0.0001295614,0.465239,0.0001657533,0.5323669,0.0001206745,0.0000583439],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02289345,0.0001885218,0.9646072,0.003817005,0.007107571,0.0004303538,9.358854e-7,0.00002469799,0.0009302265],"genre_scores_gemma":[0.7411264,0.000005982616,0.2584171,0.00009572151,0.0003310095,0.000006322496,0.000001047265,0.000008575991,0.000007842872],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7182329,"threshold_uncertainty_score":0.5194328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1197537177302761,"score_gpt":0.4242929894714993,"score_spread":0.3045392717412231,"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."}}