{"id":"W2607673845","doi":"10.1111/bjep.12159","title":"Individual, social, and family factors associated with high school dropout among low‐ <scp>SES</scp> youth: Differential effects as a function of immigrant status","year":2017,"lang":"en","type":"article","venue":"British Journal of Educational Psychology","topic":"Racial and Ethnic Identity Research","field":"Social Sciences","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi; Université de Montréal","funders":"Fonds de Recherche du Québec-Société et Culture; Ministère de l'Éducation, du Loisir et du Sport Québec","keywords":"Psychology; Immigration; Dropout (neural networks); Socioeconomic status; School dropout; Logistic regression; Population; Developmental psychology; Demography; Gerontology; Medicine; Sociology; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007532159,0.0001305495,0.0003735364,0.0001959049,0.001394486,0.0004520791,0.0004480748,0.0002367484,0.0001714019],"category_scores_gemma":[0.004543913,0.0001336331,0.0001204938,0.0001606107,0.001263614,0.0006041979,0.00005211501,0.0005324035,0.000007114118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009372825,"about_ca_system_score_gemma":0.0008045792,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01765844,"about_ca_topic_score_gemma":0.005996979,"domain_scores_codex":[0.9975532,0.0004815937,0.0004138536,0.0002240385,0.0008836702,0.0004436285],"domain_scores_gemma":[0.997409,0.0005774689,0.0009147418,0.0001151429,0.0006674342,0.0003162374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009621526,0.000961764,0.9675331,0.0000335488,0.0005874886,0.0000256848,0.01285492,4.951957e-7,0.0007665646,0.0008182157,0.01159707,0.004724932],"study_design_scores_gemma":[0.001235716,0.0003024304,0.9873389,0.0002020656,0.0001170435,0.00001054485,0.005169234,1.839465e-7,0.00001837336,0.005407553,0.0001274134,0.00007052583],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957271,0.0004704405,0.00001732564,0.0006854009,0.001413168,0.0001952821,0.00007298244,0.000006136999,0.001412225],"genre_scores_gemma":[0.997798,0.0005757813,0.00001165054,0.00007940985,0.000741165,0.000005727273,0.00004031729,0.00001511897,0.0007328473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01980582,"threshold_uncertainty_score":0.9999056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04527997470543248,"score_gpt":0.3656283947585201,"score_spread":0.3203484200530876,"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."}}