{"id":"W1792654590","doi":"10.18806/tesl.v29i0.1117","title":"Words for English-Language Learners","year":2012,"lang":"en","type":"article","venue":"TESL Canada Journal","topic":"Reading and Literacy Development","field":"Psychology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocabulary; Linguistics; Reading comprehension; English language; Reading (process); English vocabulary; Vocabulary development; Psychology; Listing (finance); Language transfer; Language assessment; First language; English as a second language; Word (group theory); Comprehension approach; Language education; Computer science","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":[0.0002519008,0.0002771029,0.0002817395,0.0005368794,0.0008498151,0.002718785,0.0003304333,0.0005317017,0.04816032],"category_scores_gemma":[0.003325357,0.00009680889,0.0001757235,0.0004471662,0.0003590201,0.002116356,0.001149763,0.0006476982,0.01449468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003931565,"about_ca_system_score_gemma":0.001052422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003781389,"about_ca_topic_score_gemma":0.008678147,"domain_scores_codex":[0.9998337,0.00002760022,0.00002090678,0.00003052599,0.00005491032,0.00003237464],"domain_scores_gemma":[0.9986791,0.0003193968,0.0002116989,0.0001031977,0.0003684677,0.000318185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002534094,0.0008546957,0.1988072,0.001207725,0.00002585335,0.001948001,0.02441261,0.0001308027,0.01903604,0.02940116,0.1164258,0.6074969],"study_design_scores_gemma":[0.00004418571,0.0005526198,0.349306,0.0008487564,0.00007349581,0.003826792,0.03274306,0.0003235161,0.01023456,0.03375918,0.5682216,0.00006625422],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7425523,0.008416995,0.001437637,0.008343812,0.0004993189,0.0001158429,0.00376655,0.0003410839,0.2345264],"genre_scores_gemma":[0.8503975,0.004402126,0.003785073,0.001657466,0.0001615128,0.0001085267,0.003261298,0.0001023442,0.1361242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04816032,"threshold_uncertainty_score":0.1611123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01542334926568288,"score_gpt":0.2938089842566425,"score_spread":0.2783856349909596,"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."}}