{"id":"W2777482689","doi":"10.5430/wjel.v7n4p11","title":"Bilingual Education Helps to Improve the Intelligence of Children","year":2017,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Educational Methods and Media Use","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Test (biology); Intelligence quotient; Subject (documents); Foreign language; Psychology; Pupil; Computer science; Developmental psychology; Mathematics education; Artificial intelligence; Cognition; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.001083397,0.00007423041,0.0001408313,0.0001561943,0.0001104385,0.0001319783,0.001610224,0.00001849007,0.00001551708],"category_scores_gemma":[0.004842123,0.0000482243,0.00008365152,0.0001592838,0.00005244464,0.0003321533,0.0001543354,0.0001973443,0.000003054659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002618102,"about_ca_system_score_gemma":0.0005085539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006583019,"about_ca_topic_score_gemma":0.00005780369,"domain_scores_codex":[0.9991342,0.00006724738,0.0003057475,0.0001142749,0.0002557629,0.0001227776],"domain_scores_gemma":[0.9978557,0.0002237886,0.0005050729,0.0006596895,0.000638444,0.000117273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001477508,0.0002167074,0.00382812,0.00001291566,0.00003912403,0.000003883128,0.05098752,0.00002753399,0.002393406,0.02395896,0.00167409,0.9168429],"study_design_scores_gemma":[0.00148274,0.001488663,0.2619138,0.001626308,0.000232755,0.0001986405,0.04775905,0.0003020416,0.5455849,0.0210846,0.1169283,0.001398152],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656894,0.001444124,0.01681727,0.002845678,0.008600017,0.0002319673,0.000004164427,0.00001285734,0.004354515],"genre_scores_gemma":[0.8700933,0.000026176,0.1267295,0.0003491352,0.00214775,0.000002860095,3.601644e-7,0.000005936045,0.000644914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9154448,"threshold_uncertainty_score":0.5796824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454240506736513,"score_gpt":0.3295900031449622,"score_spread":0.3150475980775971,"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."}}