{"id":"W4409793614","doi":"10.61091/jcmcc127a-195","title":"Skillful Analysis of English Language Lexical Processing and Language Cognitive Learning Assisted by Artificial Intelligence","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; Cognition; Linguistics; Natural language processing; Artificial intelligence; Lexical analysis; Lexical choice; Psychology; Language acquisition; Cognitive science; Lexical item","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":[0.001255225,0.0001852424,0.0006828051,0.0005303458,0.0002231817,0.0001777746,0.0004335519,0.0001852065,0.00000333545],"category_scores_gemma":[0.002143104,0.0001731774,0.0001270896,0.001218791,0.0001679654,0.0002138912,0.0002720074,0.0005557203,2.326865e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003516729,"about_ca_system_score_gemma":0.0001793803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001087051,"about_ca_topic_score_gemma":8.197885e-7,"domain_scores_codex":[0.9981806,0.0001417075,0.0008780192,0.0002361641,0.0003505823,0.0002129883],"domain_scores_gemma":[0.9968178,0.001307436,0.000828543,0.0001478,0.0008122132,0.00008619246],"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":[0.00005369349,0.0006523824,0.0008151805,0.0001752551,0.0005681854,0.00001121907,0.01957292,0.00002771405,0.001243018,0.9154995,0.00002603379,0.0613549],"study_design_scores_gemma":[0.003491373,0.001705824,0.002315215,0.001956392,0.002560919,0.00006443568,0.04504469,0.1069545,0.03344764,0.8011221,0.0002807978,0.001056104],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.874849,0.001260401,0.1203872,0.0001303715,0.002770916,0.0001048796,0.000002145434,0.0000452622,0.0004498373],"genre_scores_gemma":[0.9959778,0.00002464521,0.003719326,0.000021646,0.0002342368,0.000001240193,0.000002956408,0.000007561679,0.00001056743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1211289,"threshold_uncertainty_score":0.706197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0158697339849389,"score_gpt":0.3196434214192852,"score_spread":0.3037736874343463,"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."}}