{"id":"W2770788420","doi":"10.5539/elt.v10n12p212","title":"The Effectiveness of Multimedia Application on Students Listening Comprehension","year":2017,"lang":"en","type":"article","venue":"English Language Teaching","topic":"English Language Learning and Teaching","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Listening comprehension; Active listening; Mathematics education; Psychology; Class (philosophy); Test (biology); Comprehension; Population; Multimedia; Linguistics; Computer science; Communication; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004687395,0.0001890754,0.000235604,0.00007312909,0.001617521,0.0006808961,0.002544163,0.00007734233,8.988619e-7],"category_scores_gemma":[0.004479302,0.0001363559,0.0001030316,0.00005249827,0.00008114538,0.0004773554,0.000625453,0.0008433957,0.000009354027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005254734,"about_ca_system_score_gemma":0.00001458646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003418487,"about_ca_topic_score_gemma":0.00001900575,"domain_scores_codex":[0.9974476,0.001063337,0.0002430078,0.0004100637,0.0005398032,0.0002962576],"domain_scores_gemma":[0.9955517,0.00222762,0.0003497756,0.001732263,0.00006506998,0.00007356511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001129313,0.000298536,0.03383368,0.000138984,0.0001148798,0.00006795242,0.1651167,0.001125058,0.02012163,0.03807335,0.00004124496,0.7409551],"study_design_scores_gemma":[0.01385644,0.001477071,0.5386159,0.00553032,0.0001998826,0.00005188633,0.05934605,0.2782581,0.08548162,0.002143039,0.01131274,0.003727023],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9213753,0.0002236851,0.0664295,0.00002678577,0.0007871868,0.0002909082,0.000001275855,0.0003280153,0.01053737],"genre_scores_gemma":[0.993235,0.000003406878,0.006294314,0.00002653682,0.0002773472,0.00002549735,0.000006277211,0.00002161764,0.0001099948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.737228,"threshold_uncertainty_score":0.9996822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006453726098583464,"score_gpt":0.2896618961078333,"score_spread":0.2832081700092498,"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."}}