{"id":"W953747868","doi":"10.1007/978-94-011-4277-9_16","title":"Beyond boundaries: Japanese migrant women in North America","year":2000,"lang":"en","type":"book-chapter","venue":"Social indicators research series","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Gender studies; Geography; Political science; History; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.000649079,0.0003167958,0.0003140512,0.0009823841,0.007266313,0.003153889,0.0007664786,0.000980445,0.003999659],"category_scores_gemma":[0.00107178,0.0002215509,0.0001506546,0.002769269,0.002784335,0.004940137,0.003803381,0.001413551,0.0002707049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002136355,"about_ca_system_score_gemma":0.00483314,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1781098,"about_ca_topic_score_gemma":0.4499086,"domain_scores_codex":[0.9996131,0.0001198895,0.00001428439,0.00003761178,0.00002535524,0.0001896805],"domain_scores_gemma":[0.9995841,0.00006096795,0.00008015171,0.000008678206,0.00004448717,0.0002216109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00007012272,0.00007143876,0.05771357,0.0001687613,0.000007910571,0.001365313,0.8791605,0.00003701218,0.0003387011,0.01634069,0.01290989,0.0318161],"study_design_scores_gemma":[0.000006275523,0.00002811829,0.1084308,0.0001540593,0.00002159981,0.0001479528,0.862283,0.00004907997,0.00007051352,0.001615536,0.0271819,0.00001128171],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9357406,0.008113946,0.0001953445,0.01402195,0.0003298707,0.00002220312,0.0001355584,0.000009125481,0.04143143],"genre_scores_gemma":[0.9749858,0.005789811,0.0002284458,0.002107454,0.0001505624,0.00005453704,0.0001156222,0.00001669157,0.01655117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8218902,"threshold_uncertainty_score":0.3541461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03662630152418785,"score_gpt":0.3351592667135334,"score_spread":0.2985329651893456,"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."}}