{"id":"W2255792003","doi":"","title":"Women, Gender and Labour Migration: Historical and Global Perspectives","year":2002,"lang":"en","type":"article","venue":"Canadian women's studies","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sociology; Gender studies; Demographic economics; Labour economics; Political science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002897091,0.0007603304,0.0006809303,0.007246986,0.01690817,0.01227183,0.001502644,0.002678771,0.01156711],"category_scores_gemma":[0.002841546,0.0003219484,0.0002888682,0.01695098,0.02791484,0.00417359,0.003036222,0.002582313,0.0003301326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04962128,"about_ca_system_score_gemma":0.04683867,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9190343,"about_ca_topic_score_gemma":0.9702141,"domain_scores_codex":[0.9984844,0.0003614269,0.00002912002,0.00009714165,0.0002275553,0.0008002277],"domain_scores_gemma":[0.9979205,0.0009851843,0.0001633608,0.00004720031,0.0004633426,0.0004205297],"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":[0.0001813686,0.00008826687,0.02452428,0.001078498,0.00003287953,0.001182185,0.3085158,0.0003791549,0.0005901591,0.5269003,0.0406996,0.09582757],"study_design_scores_gemma":[0.00001227942,0.00005452376,0.04077417,0.001388358,0.00005241618,0.0003543822,0.3461436,0.00009962984,0.0001704018,0.01827367,0.5926237,0.00005279264],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.159304,0.4423588,0.000963439,0.1313173,0.002528648,0.00004912105,0.0008261461,0.00005214045,0.2626004],"genre_scores_gemma":[0.7379409,0.2091688,0.0005640406,0.008391195,0.002194926,0.00005155751,0.0002546344,0.00006005713,0.04137393],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0809657,"threshold_uncertainty_score":0.3600292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02908271987771066,"score_gpt":0.266275627522111,"score_spread":0.2371929076444004,"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."}}