{"id":"W2900059194","doi":"","title":"Repeat after me, my name is Javier: immigrants English prociency improvement four years after arrival","year":2013,"lang":"en","type":"preprint","venue":"Redalyc (Universidad Autónoma del Estado de México)","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; History; Linguistics; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006677617,0.0002856679,0.0004130317,0.0008282441,0.002006189,0.001399191,0.0006412599,0.0007346649,0.04847013],"category_scores_gemma":[0.005082366,0.0001120439,0.0003477185,0.001195119,0.0004050987,0.0009770003,0.0007657945,0.001077165,0.0173012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00187295,"about_ca_system_score_gemma":0.001923506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2505563,"about_ca_topic_score_gemma":0.3289671,"domain_scores_codex":[0.9997554,0.00003666834,0.00001382397,0.00005485495,0.00007309805,0.00006619376],"domain_scores_gemma":[0.9980918,0.0002390911,0.0001866805,0.0001322539,0.001080719,0.0002695349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005770643,0.00002311214,0.03858954,0.0001084003,0.00002059781,0.0001968626,0.002952458,0.00005747992,0.0001657762,0.001125448,0.9163114,0.04039126],"study_design_scores_gemma":[0.00002663761,0.00005823224,0.204247,0.0005359362,0.00005138708,0.0003617562,0.01334848,0.0002288489,0.0007882915,0.001196518,0.7790784,0.0000784595],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2676876,0.01234514,0.004637969,0.3914557,0.03202573,0.0005556825,0.1214884,0.002042674,0.1677611],"genre_scores_gemma":[0.3971682,0.008193794,0.003964654,0.02347627,0.004402771,0.000412182,0.02512505,0.0008259547,0.5364311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2505563,"threshold_uncertainty_score":0.4981957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386440413414814,"score_gpt":0.2576293744481804,"score_spread":0.2437649703140323,"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."}}