{"id":"W7020024423","doi":"","title":"The intersection of gender and generation in Albanian migration, remittances and transnational care","year":2009,"lang":"en","type":"article","venue":"Figshare","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emigration; Power (physics); Intersection (aeronautics); Quarter (Canadian coin); Politics; Gender relations; Immigration","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":[0.001863069,0.0002348038,0.0001935532,0.0009880847,0.005237174,0.002625345,0.0005851039,0.000579327,0.003296595],"category_scores_gemma":[0.002963666,0.0001097325,0.0001474616,0.000779046,0.01044477,0.001918892,0.004850383,0.0008796678,0.0001384726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003221585,"about_ca_system_score_gemma":0.00169016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02635717,"about_ca_topic_score_gemma":0.04981831,"domain_scores_codex":[0.9975829,0.001750397,0.00004092541,0.00007247049,0.0001155088,0.0004378291],"domain_scores_gemma":[0.999079,0.0004060545,0.0001948202,0.00005118255,0.00006981701,0.0001991008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00005401079,0.00005410194,0.05322183,0.00005605136,0.00001060564,0.002790882,0.8249735,0.00007657719,0.0002093212,0.08747107,0.001940463,0.02914163],"study_design_scores_gemma":[0.000007544773,0.00004033367,0.05002979,0.0001907421,0.00001044747,0.0008955442,0.9112074,0.00009797927,0.0001025945,0.009670241,0.02773439,0.00001303071],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947381,0.001864631,0.0002954458,0.00602912,0.00007227757,0.00001256463,0.00001435393,0.000004282249,0.04432625],"genre_scores_gemma":[0.9977927,0.0003717991,0.00005827014,0.0001796289,0.00001586767,0.000007590164,0.000003633377,0.000001530152,0.001569066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02635717,"threshold_uncertainty_score":0.0524075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02775536605581411,"score_gpt":0.287852066475099,"score_spread":0.2600967004192848,"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."}}