{"id":"W1495845112","doi":"","title":"A Contrastive Analysis of Chinese College English Syllabus Word List With a General Service List of English Words and Academic Word List","year":2014,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Syllabus; Word list; Vocabulary; Word (group theory); College English; Computer science; Linguistics; Mathematics education; Psychology; Artificial intelligence; Class (philosophy)","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":[0.0004936991,0.0003123013,0.0009277398,0.0005016656,0.00008354145,0.00003478639,0.0001563462,0.0002249745,0.0006815079],"category_scores_gemma":[0.0007068457,0.0002301172,0.00008647529,0.002123118,0.0003003815,0.0001379907,0.0001008236,0.0006012266,3.015264e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002094673,"about_ca_system_score_gemma":0.00001243469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002652028,"about_ca_topic_score_gemma":0.001584801,"domain_scores_codex":[0.9982514,0.0003152573,0.0004621387,0.0004792691,0.0001787932,0.0003131762],"domain_scores_gemma":[0.99824,0.000587633,0.0002751068,0.0003227319,0.0004832644,0.00009125828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008214485,0.00009721861,0.06566801,0.0002783461,0.002061445,0.0001428217,0.9259639,0.00001603844,0.0002899768,0.001860069,0.0006231678,0.002177579],"study_design_scores_gemma":[0.0112072,0.0008620008,0.3587332,0.001803509,0.002228205,0.00005874025,0.6093615,0.0005206111,0.0001417385,0.0001742695,0.013459,0.001450016],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9218748,0.07070012,0.00001010654,0.00005595621,0.0003238452,0.0002075664,0.0002326099,0.00003907151,0.006555974],"genre_scores_gemma":[0.9958226,0.0001964516,0.0001820808,0.001984387,0.0006725806,0.00003776257,0.000115651,0.0000235912,0.0009648826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3166024,"threshold_uncertainty_score":0.9383909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008495081580434447,"score_gpt":0.3121081777502825,"score_spread":0.3036130961698481,"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."}}