{"id":"W2991204503","doi":"10.23889/ijpds.v4i3.1222","title":"Thriving, catching up or falling behind: Immigrant and refugee children’s kindergarten competencies and later academic achievement","year":2019,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Early Childhood Education and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Learning Partnership; University of British Columbia","funders":"","keywords":"Refugee; Numeracy; Immigration; Thriving; Literacy; Academic achievement; Population; Developmental psychology; Longitudinal study; Psychology; Sociology; Demography; Political science; Medicine; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008944171,0.0003542242,0.0002839064,0.00111101,0.001914425,0.002029506,0.001041816,0.000424483,0.001903214],"category_scores_gemma":[0.002069198,0.0002317907,0.0003543404,0.001588841,0.001485051,0.0006723711,0.002090379,0.00095897,0.0002121463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004117804,"about_ca_system_score_gemma":0.007354751,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.812766,"about_ca_topic_score_gemma":0.882002,"domain_scores_codex":[0.9994517,0.00005813653,0.00004767332,0.0000962562,0.0001107792,0.0002354236],"domain_scores_gemma":[0.9986319,0.000116235,0.0005050651,0.00006569566,0.0003079859,0.0003730406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002135754,0.00003740139,0.9934158,0.00002491916,0.00001618399,0.000093274,0.003068352,0.00005562585,0.00006230756,0.0001295527,0.0002083147,0.002866915],"study_design_scores_gemma":[0.000001059378,0.00001616455,0.9897298,0.00004616526,0.000009901775,0.00006374368,0.009541702,0.00004970919,0.00004944994,0.00003211711,0.0004532451,0.0000069777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982452,0.0002743155,0.00002338824,0.000137972,0.00000390081,0.000007733214,0.0003912766,0.000001977898,0.0009141618],"genre_scores_gemma":[0.99854,0.0003758805,0.000139677,0.00004608137,0.000003538406,0.00001676956,0.00046486,0.000002565919,0.0004105463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.812766,"threshold_uncertainty_score":0.3766733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04790238028416578,"score_gpt":0.3830792255636354,"score_spread":0.3351768452794697,"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."}}