{"id":"W4382584334","doi":"10.1007/978-3-031-34194-6_3","title":"Non-traditional Migration in South Asia","year":2023,"lang":"en","type":"book-chapter","venue":"IMISCOE research series","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Remittance; South asia; Politics; Order (exchange); Geography; Development economics; Human migration; Political science; Economic growth; Economics; Sociology; Population; Ethnology; Demography","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":[0.0003971158,0.0002146989,0.0001015399,0.0004916944,0.001223011,0.001692638,0.0002909226,0.0003108386,0.007356721],"category_scores_gemma":[0.000423497,0.00005595382,0.00007669704,0.001399603,0.0019589,0.001167566,0.001543323,0.0007819754,0.000438187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001015745,"about_ca_system_score_gemma":0.001527559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005298561,"about_ca_topic_score_gemma":0.01122229,"domain_scores_codex":[0.9998758,0.00005023549,0.000006935331,0.00001438562,0.00003281039,0.00001988724],"domain_scores_gemma":[0.9997779,0.000120915,0.00003195497,0.00001220694,0.00002897504,0.00002813797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003183981,0.00005856924,0.010417,0.001023405,0.000007285984,0.001904469,0.2954372,0.0003677854,0.001701922,0.5416988,0.01918815,0.1281636],"study_design_scores_gemma":[0.00000957564,0.0000752176,0.0318513,0.001460913,0.000008610431,0.001484933,0.1734245,0.0005110789,0.0005984395,0.04525288,0.7453056,0.00001701072],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3640298,0.03896219,0.001395563,0.01443342,0.0009557043,0.00005542405,0.00009656239,0.00002326519,0.5800481],"genre_scores_gemma":[0.8501252,0.03195905,0.00052579,0.0009649937,0.0002974414,0.00003955926,0.00006167433,0.00002070599,0.1160055],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.007356721,"threshold_uncertainty_score":0.0246107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1472059582806549,"score_gpt":0.3884949876341454,"score_spread":0.2412890293534905,"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."}}