{"id":"W2980590671","doi":"10.1017/s0272263119000494","title":"LEARNING VOCABULARY THROUGH READING, LISTENING, AND VIEWING","year":2019,"lang":"en","type":"article","venue":"Studies in Second Language Acquisition","topic":"Subtitles and Audiovisual Media","field":"Arts and Humanities","cited_by":137,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Active listening; Vocabulary; Reading (process); Psychology; Vocabulary learning; Checklist; Vocabulary development; Control (management); Linguistics; Mathematics education; Computer science; Cognitive psychology; Communication; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001844709,0.0001210723,0.000222418,0.00006030861,0.0001438673,0.00005688588,0.00005143334,0.00003211946,0.005365824],"category_scores_gemma":[0.00004241166,0.0001036031,0.00003665398,0.00003319682,0.0001245227,0.0002784723,0.00008026151,0.0001571519,0.0001276881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003390645,"about_ca_system_score_gemma":0.000004624467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007145226,"about_ca_topic_score_gemma":0.000172574,"domain_scores_codex":[0.9992809,0.00004758342,0.0001720936,0.0002100425,0.00009726455,0.0001921067],"domain_scores_gemma":[0.9996705,0.0001091192,0.00006803819,0.00009937708,0.00003434696,0.00001858807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002103975,0.00002481421,0.003271034,0.0003544637,0.00009304524,0.00007576493,0.9750788,0.000005823942,0.001188109,0.01064756,0.001975886,0.007263636],"study_design_scores_gemma":[0.001175706,0.0004162724,0.002153438,0.0008427857,0.0000453887,0.00002500651,0.7682884,0.0001059299,0.0007573286,0.001315546,0.2243482,0.0005260193],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9132622,0.01629769,0.000001730441,0.00004915823,0.0006210135,0.0001208478,0.000004547506,0.00004943208,0.06959333],"genre_scores_gemma":[0.9858414,0.0003595874,0.00005856712,0.0007537915,0.0005031162,0.00001274959,0.00001973386,0.00001682342,0.01243421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2223723,"threshold_uncertainty_score":0.9955434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0290354508299254,"score_gpt":0.3004149156144041,"score_spread":0.2713794647844787,"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."}}