{"id":"W4391146742","doi":"10.23977/aetp.2024.080102","title":"Survey on the Influence Factors of Mobile-Assisted English Learning","year":2024,"lang":"en","type":"article","venue":"Advances in Educational Technology and Psychology","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Psychology; Mathematics education","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":[0.001341456,0.0001592154,0.0002892593,0.001496047,0.0003269039,0.0004168397,0.0001951954,0.000203059,0.003421504],"category_scores_gemma":[0.005006549,0.0001507417,0.0006211874,0.001708668,0.0001514915,0.0004840712,0.0002554444,0.0002843319,0.0004838366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004177894,"about_ca_system_score_gemma":0.001093573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004962095,"about_ca_topic_score_gemma":0.006829985,"domain_scores_codex":[0.9986345,0.0004480283,0.0002025667,0.0001096649,0.000442128,0.0001629822],"domain_scores_gemma":[0.9947376,0.002294974,0.0008439341,0.00009987697,0.001554183,0.0004695418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006684582,0.0002727812,0.9374202,0.000593938,0.00009423256,0.0001751303,0.002032211,0.0001051855,0.0005057105,0.0001767479,0.001841113,0.05671591],"study_design_scores_gemma":[0.00000414202,0.000212588,0.9898875,0.0001164149,0.00005798125,0.0001833322,0.003827184,0.000131553,0.0001697088,0.00002882226,0.005371853,0.000008774897],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866837,0.002806081,0.0008146655,0.0004848604,0.00004192665,0.0002859813,0.001456825,0.00002600778,0.007400081],"genre_scores_gemma":[0.9918242,0.004053825,0.0006159561,0.0001433443,0.00002807072,0.0001663754,0.0008892727,0.000005635815,0.00227344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004962095,"threshold_uncertainty_score":0.01144612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01603723054396763,"score_gpt":0.3460760487865975,"score_spread":0.3300388182426299,"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."}}