{"id":"W4399583372","doi":"10.1002/wom3.38","title":"Gender and migration: Trends, gaps and urgent action","year":2024,"lang":"en","type":"article","venue":"World Migration Report","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Balsillie School of International Affairs","funders":"","keywords":"Action (physics); Economic geography; Political science; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004930546,0.00009997044,0.00009555963,0.000246392,0.0003182887,0.0003166383,0.00003012564,0.00006289782,0.0006312159],"category_scores_gemma":[0.00007165347,0.00009418128,0.00003943647,0.0005562932,0.00009169841,0.0003439688,0.00001165499,0.0000996271,0.00001058978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006542974,"about_ca_system_score_gemma":0.0001689939,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008759911,"about_ca_topic_score_gemma":0.201721,"domain_scores_codex":[0.9989482,0.00007027628,0.0002663917,0.0002933344,0.0002818957,0.000139973],"domain_scores_gemma":[0.999538,0.000042189,0.00007435747,0.0001155088,0.00007418287,0.0001557325],"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":[0.00003198423,0.0001151613,0.05345144,0.000162379,0.000147725,0.0003581019,0.08466942,0.00007891136,0.002913301,0.4799503,0.2588452,0.119276],"study_design_scores_gemma":[0.0000518393,0.000008241826,0.01216621,0.00001569102,0.00002961479,0.00004925496,0.001919263,0.002627463,0.00005977576,0.0006457142,0.9823014,0.0001254996],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8778369,0.006039376,0.002957907,0.03098154,0.002185304,0.0004467405,0.00001861793,0.0006763155,0.07885727],"genre_scores_gemma":[0.9022323,0.001680869,0.0003722344,0.0002734966,0.0003438683,0.00002523343,0.00008607889,0.00001074295,0.09497517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7234562,"threshold_uncertainty_score":0.8128456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03754077551738538,"score_gpt":0.3399533394808485,"score_spread":0.3024125639634632,"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."}}