{"id":"W4411077143","doi":"10.3138/9781487584597-041","title":"Assessing Immigrant Integration","year":2025,"lang":"en","type":"book-chapter","venue":"University of Toronto Press eBooks","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; History; Archaeology","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":[0.005677257,0.0007031334,0.0006682781,0.004677545,0.002288634,0.002777113,0.001202217,0.0009948607,0.01616222],"category_scores_gemma":[0.01062735,0.0002368059,0.0009586809,0.002309907,0.0005265762,0.001850782,0.004306514,0.00119564,0.003008382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001736907,"about_ca_system_score_gemma":0.00268902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0145494,"about_ca_topic_score_gemma":0.02285133,"domain_scores_codex":[0.9972605,0.0007986749,0.0004803504,0.0001618639,0.0008881052,0.0004104832],"domain_scores_gemma":[0.9959939,0.0003443009,0.0006169488,0.0001923372,0.002107107,0.0007454723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002528696,0.0006384305,0.6808874,0.0005217211,0.0002181979,0.0005406917,0.01190237,0.0004993683,0.0008594921,0.00460588,0.0244051,0.2746684],"study_design_scores_gemma":[0.00006116746,0.001209691,0.8574097,0.001102382,0.0002367343,0.001268986,0.0432592,0.001108487,0.001329788,0.004298855,0.08855633,0.0001588207],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8030274,0.002592199,0.004473405,0.003088647,0.0006129175,0.002592536,0.007028903,0.0002753593,0.1763086],"genre_scores_gemma":[0.9112763,0.004655262,0.02450323,0.00153277,0.0001839528,0.003100083,0.01041189,0.00006623715,0.04427028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01616222,"threshold_uncertainty_score":0.05406803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02385590387820865,"score_gpt":0.2629006336218778,"score_spread":0.2390447297436692,"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."}}