{"id":"W1542285287","doi":"10.19173/irrodl.v16i2.1974","title":"Online text processing: A study of Iranian EFL learners’ vocabulary knowledge","year":2015,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Digital Communication and Language","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Internet; Vocabulary; Test (biology); Computer science; Foreign language; Session (web analytics); Control (management); Class (philosophy); Homogeneous; Vocabulary development; World Wide Web; Psychology; Multimedia; Mathematics education; Teaching method; Artificial intelligence; Linguistics; 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":[0.001462535,0.0003447063,0.0006209681,0.001264547,0.001455698,0.001509969,0.0006217118,0.0006423895,0.002633915],"category_scores_gemma":[0.004263975,0.0002900029,0.0003081711,0.001046839,0.0007673136,0.001512081,0.0006506752,0.0008535519,0.0006285674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006585201,"about_ca_system_score_gemma":0.001125216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004482685,"about_ca_topic_score_gemma":0.005424064,"domain_scores_codex":[0.9993252,0.0001516358,0.00006860698,0.00009920854,0.0002190143,0.0001363908],"domain_scores_gemma":[0.9978672,0.0008556737,0.0004391168,0.00008105332,0.0004337287,0.0003232987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002306708,0.006738304,0.3859424,0.0003401298,0.00003597614,0.002223744,0.5313833,0.00009171037,0.004995486,0.0003918695,0.0008381748,0.06678822],"study_design_scores_gemma":[0.00005809161,0.002524039,0.5807002,0.0001337907,0.00005421207,0.001362563,0.4053973,0.0003421707,0.001687676,0.0003471133,0.007344105,0.00004876182],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991202,0.00005930258,0.0000338019,0.00002839692,0.000002127244,0.00002104119,0.00001231886,0.00000111853,0.0007218104],"genre_scores_gemma":[0.9976615,0.0002621058,0.0002274159,0.00009354283,0.00000859897,0.00006291961,0.00005006266,0.000002884861,0.001631071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004482685,"threshold_uncertainty_score":0.008913159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1957412940089052,"score_gpt":0.4751380923743593,"score_spread":0.2793967983654541,"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."}}