{"id":"W2304339880","doi":"10.5539/elt.v9n4p239","title":"Breadth and Depth of Vocabulary Knowledge and Their Effects on L2 Vocabulary Profiles","year":2016,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocabulary; Class (philosophy); Psychology; Vocabulary learning; Vocabulary development; Linguistics; Mathematics education; Computer science; Artificial intelligence","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":[0.001503384,0.0002957422,0.0003139305,0.0007172286,0.0003131561,0.00149438,0.0003045468,0.0003673589,0.005084413],"category_scores_gemma":[0.01839607,0.0002029574,0.0003986216,0.000303503,0.0007577481,0.0009827539,0.001837795,0.0006588054,0.0005016948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002703758,"about_ca_system_score_gemma":0.0004121492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001298406,"about_ca_topic_score_gemma":0.001544851,"domain_scores_codex":[0.9988797,0.0004122739,0.0000892224,0.000201457,0.0003129518,0.0001043609],"domain_scores_gemma":[0.9674752,0.02346772,0.004079631,0.0009232077,0.0009950243,0.00305928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001498134,0.0009869175,0.922963,0.0001439159,0.0001954732,0.0004137888,0.00564728,0.0005294211,0.01223796,0.0004053595,0.000181023,0.05479786],"study_design_scores_gemma":[0.00001434264,0.0005026134,0.9947093,0.00003498841,0.00004581641,0.0001655336,0.001896046,0.0004595531,0.001514044,0.0003558679,0.0002895946,0.00001232239],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983773,0.0000929474,0.0001285881,0.00002087641,0.000001877498,0.000008684542,0.00002352164,0.00000429046,0.001341908],"genre_scores_gemma":[0.9988845,0.00007618246,0.0002292666,0.00001179924,0.000002925161,0.0000158744,0.00003497613,0.000004093613,0.0007402852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005084413,"threshold_uncertainty_score":0.01700908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007088308698833022,"score_gpt":0.2733285440290427,"score_spread":0.2662402353302096,"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."}}