{"id":"W4417496391","doi":"10.65677/iilr.33.s5.49","title":"Future of Skilled Indian Immigrants in Canada: Exploring the Impact of Immigration Policy, Economic Fluctuations, and Educational Investments on Gender Disparities","year":2025,"lang":"","type":"article","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Descriptive statistics; Refugee; Citizenship; Human capital; Job market; Human resources","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":[0.001211684,0.0003809843,0.0005363257,0.002329042,0.008168038,0.003235159,0.001511971,0.0008599045,0.00441676],"category_scores_gemma":[0.002156974,0.0002445665,0.0008561434,0.005068951,0.001505376,0.001431114,0.002603352,0.001984305,0.0003638739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04858176,"about_ca_system_score_gemma":0.120615,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959689,"about_ca_topic_score_gemma":0.9979218,"domain_scores_codex":[0.9985881,0.00009070068,0.00002780085,0.00009548277,0.0002368969,0.0009608507],"domain_scores_gemma":[0.998493,0.0001097276,0.0002198515,0.00002793749,0.0005510398,0.0005985702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001513304,0.0001456109,0.9170736,0.0002229246,0.00007665191,0.0006152033,0.0271118,0.000350002,0.000249343,0.0063384,0.009767462,0.03789768],"study_design_scores_gemma":[0.000008345809,0.0000658491,0.8632085,0.0004598575,0.00005805994,0.0001466087,0.123036,0.0007583107,0.0001068936,0.0008708444,0.01121843,0.00006238279],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715434,0.004169909,0.0001397501,0.01046135,0.00009093616,0.00005641628,0.00416691,0.00001266862,0.009358717],"genre_scores_gemma":[0.9900283,0.003606382,0.000231331,0.001066961,0.00002598548,0.00003012972,0.001370275,0.00000997901,0.003630593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04858176,"threshold_uncertainty_score":0.352487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01531639479363388,"score_gpt":0.293559634826049,"score_spread":0.2782432400324151,"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."}}