{"id":"W4365815304","doi":"10.1016/j.system.2023.103035","title":"The contribution of affixes to productive English vocabulary knowledge for Chinese, German and Spanish learners: A comparison","year":2023,"lang":"en","type":"article","venue":"System","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Japan Society for the Promotion of Science","keywords":"German; Linguistics; Vocabulary; Psychology; Computer science; Natural language processing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007351128,0.00009111346,0.0002128493,0.00007982555,0.0001715212,0.00003117236,0.00009345993,0.00006081738,0.00005473389],"category_scores_gemma":[0.0002691798,0.00006512135,0.00004743936,0.0002779805,0.00003915745,0.00003600321,0.00003464049,0.00008914863,0.00009522531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002600037,"about_ca_system_score_gemma":0.00001348032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001716687,"about_ca_topic_score_gemma":0.00002453517,"domain_scores_codex":[0.9990672,0.0002078912,0.000225879,0.0002219279,0.00007137292,0.0002057686],"domain_scores_gemma":[0.999113,0.0003262187,0.0001066446,0.0002128286,0.0001916595,0.00004967534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001584337,0.0002941914,0.03527811,0.0009504255,0.0009198833,0.00003587614,0.68582,0.00009848633,0.005620713,0.0941346,0.1290948,0.04616866],"study_design_scores_gemma":[0.004144676,0.001001744,0.1963997,0.0004103282,0.0001212509,0.00005749314,0.4532363,0.001924195,0.001480863,0.0001345907,0.3404884,0.0006004554],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891579,0.003920313,0.0002576634,0.0001833678,0.001538907,0.0008551913,0.00001794491,0.0001939105,0.003874827],"genre_scores_gemma":[0.9974377,0.000001286311,0.00001255265,0.00005684794,0.000666772,0.0001601032,0.00003860444,0.00001546584,0.00161067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2325837,"threshold_uncertainty_score":0.2655571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578775492676549,"score_gpt":0.35429331012337,"score_spread":0.3385055551966045,"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."}}