{"id":"W2564998523","doi":"10.3968/9051","title":"A Study of English Vocabulary Learning Strategies of Non-English Major College Students","year":2016,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocabulary; GRASP; English vocabulary; Mathematics education; Context (archaeology); Vocabulary learning; Preference; Psychology; College English; Subject (documents); Empirical research; Computer science; Linguistics; World Wide Web; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005213527,0.0002692121,0.0002820352,0.0007483592,0.0006760912,0.001143832,0.000334328,0.0002521822,0.001407145],"category_scores_gemma":[0.00211112,0.0001521534,0.0002049917,0.0004255401,0.0004157073,0.0005994624,0.0004801464,0.0003749804,0.0002072824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003264557,"about_ca_system_score_gemma":0.000884065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002993283,"about_ca_topic_score_gemma":0.006565506,"domain_scores_codex":[0.9996432,0.00006954847,0.00003271736,0.00006611927,0.00009253743,0.00009575336],"domain_scores_gemma":[0.998667,0.0003203545,0.0002418444,0.00005878165,0.0002654156,0.0004466708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001228265,0.0020022,0.8121901,0.0001687092,0.00003637607,0.000958801,0.127888,0.0000374142,0.01275417,0.0004323217,0.0002431701,0.04316584],"study_design_scores_gemma":[0.0000181173,0.001139014,0.8810948,0.00003853731,0.0000261663,0.000712622,0.1114858,0.0001945216,0.001973976,0.0002563446,0.003037116,0.0000231179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996336,0.00002406237,0.00002552029,0.000006771928,9.173474e-7,0.000004873903,0.000003150741,3.162308e-7,0.0003007164],"genre_scores_gemma":[0.9989857,0.00006624139,0.0001050231,0.00002232944,0.00000184552,0.00001168285,0.0000223552,6.630024e-7,0.000784235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002993283,"threshold_uncertainty_score":0.005951703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01157940262335597,"score_gpt":0.3449641214933521,"score_spread":0.3333847188699962,"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."}}