{"id":"W2916300927","doi":"10.5539/ijel.v9n2p128","title":"The Impact of Mobile Language Learning (WhatsApp) on EFL Context: Outcomes and Perceptions","year":2019,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); English as a foreign language; English language; Mathematics education; Psychology; Test (biology); Perception; Significant difference; Language acquisition; Foreign language; Control (management); Computer science; Medicine; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0005068704,0.0000913924,0.0001549655,0.0001327121,0.00005688911,0.0001678062,0.0006637248,0.000039145,0.00003985417],"category_scores_gemma":[0.02277604,0.00006116134,0.0001240214,0.00007139498,0.00004959428,0.00008958385,0.00008748727,0.0003591129,0.00001025695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009932242,"about_ca_system_score_gemma":0.0001206533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002574579,"about_ca_topic_score_gemma":0.000002172136,"domain_scores_codex":[0.9989264,0.00008320028,0.0003688546,0.00010421,0.0004103474,0.0001070117],"domain_scores_gemma":[0.9929324,0.0009970814,0.0004885418,0.0001804698,0.005346193,0.00005532919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001383278,0.0005509945,0.7095632,0.00002288485,0.0007815716,0.00002660396,0.04038169,0.08365732,0.0003785791,0.06631072,0.004451248,0.09373689],"study_design_scores_gemma":[0.003825951,0.004299453,0.7684359,0.0005657994,0.00007578664,0.00004517986,0.02052097,0.03298067,0.0007433628,0.003868678,0.1639191,0.0007191626],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820243,0.0001813189,0.001536039,0.00004665753,0.009003732,0.00009693772,0.000003726346,0.00002055216,0.00708675],"genre_scores_gemma":[0.9972306,0.00005592906,0.001023736,0.00003558786,0.001323335,0.000001980293,0.000001738327,0.000008197565,0.0003188257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1594679,"threshold_uncertainty_score":0.9854555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007542775242636083,"score_gpt":0.3159905758017953,"score_spread":0.3084478005591592,"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."}}