{"id":"W4385190635","doi":"10.32920/23739339","title":"Immigrant Experiences in North America: Understanding Settlement and Integration","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Settlement (finance); Appeal; Metropolitan area; Politics; Political science; Immigration policy; Sociology; Economic growth; Gender studies; Geography; Law; Economics; 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":[0.002120512,0.0004847715,0.0005267147,0.001534433,0.02612919,0.008105475,0.0009336616,0.001932808,0.003695124],"category_scores_gemma":[0.002288939,0.0003080419,0.0002806152,0.002676416,0.01668336,0.005150194,0.01115301,0.003198685,0.0001888691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01132249,"about_ca_system_score_gemma":0.009536604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3114605,"about_ca_topic_score_gemma":0.4867348,"domain_scores_codex":[0.9983292,0.0009609223,0.00003344053,0.0000980436,0.0001441616,0.0004342901],"domain_scores_gemma":[0.999117,0.0003439261,0.0001061715,0.00003898883,0.0001138052,0.0002801718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005742309,0.00000954721,0.001479414,0.00001907319,0.000001895718,0.0002306198,0.9904593,0.00001164033,0.00006788001,0.004390113,0.001118051,0.002206621],"study_design_scores_gemma":[9.58509e-7,0.000005000735,0.002162543,0.00006555142,0.0000023475,0.00006467974,0.9814989,0.00001370235,0.00001545528,0.0005622162,0.01560467,0.00000394686],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.89767,0.005511263,0.0003043278,0.01580825,0.000258058,0.00002339578,0.00005176112,0.00001676066,0.08035608],"genre_scores_gemma":[0.9879355,0.004055474,0.000167527,0.001601449,0.00004401271,0.0000375542,0.00003526131,0.00001425413,0.006108888],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3114605,"threshold_uncertainty_score":0.6192951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07556483672747914,"score_gpt":0.3295813626474179,"score_spread":0.2540165259199388,"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."}}