{"id":"W3010872052","doi":"","title":"Fitting in: Human capital assimilation of children of immigrant families in Canada.","year":2002,"lang":"en","type":"article","venue":"","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Human capital; Demography; Demographic economics; Psychology; Medicine; Geography; Sociology; Economics; Economic growth","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":[0.0004898555,0.0001994834,0.0002105747,0.0008056812,0.003984565,0.00121332,0.0005955109,0.0003119468,0.003685811],"category_scores_gemma":[0.001568155,0.0001267542,0.000240917,0.00135114,0.0006551051,0.0004484883,0.001255278,0.0005713712,0.0002014489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01460944,"about_ca_system_score_gemma":0.0170722,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9751409,"about_ca_topic_score_gemma":0.989551,"domain_scores_codex":[0.9996841,0.00002481641,0.000007534888,0.00003031271,0.00007536977,0.0001780257],"domain_scores_gemma":[0.9994185,0.00003674856,0.000146441,0.00002374341,0.0001639605,0.0002106814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005066014,0.00004328235,0.9498507,0.00003808357,0.00001895004,0.0004840208,0.02183746,0.0001360629,0.0001954746,0.0008985606,0.002997342,0.02344942],"study_design_scores_gemma":[0.000003093582,0.0000257158,0.964747,0.00003721098,0.000008370756,0.0001442445,0.03068473,0.00009224511,0.00008390959,0.0001236756,0.004040026,0.000009836025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99599,0.0004505959,0.00003177745,0.0005918073,0.00001157256,0.00001364646,0.0007471655,0.000002868301,0.002160606],"genre_scores_gemma":[0.9976367,0.0003005992,0.00008225467,0.00009897794,0.000002114844,0.00001115125,0.0002945013,0.000002189658,0.001571472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02485907,"threshold_uncertainty_score":0.1059994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01670255643237864,"score_gpt":0.2666410921881789,"score_spread":0.2499385357558002,"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."}}