{"id":"W2559370296","doi":"","title":"Women and migrations in Croatia: from marginal subjects (“White Widows”) to contemporary migrants in the EU","year":2014,"lang":"en","type":"article","venue":"","topic":"Regional Development and Management Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emigration; Feminization (sociology); Unemployment; Ethnography; Gender studies; White (mutation); Sociology; Economic growth; Political science; Demographic economics; Geography; Economics","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":[0.001959143,0.0005106484,0.0006061915,0.001998387,0.01037376,0.005211699,0.0007629512,0.001112883,0.002351199],"category_scores_gemma":[0.001394082,0.0004478233,0.0002516492,0.001915003,0.006380807,0.002645357,0.004882874,0.00162795,0.0002223203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001950573,"about_ca_system_score_gemma":0.002409234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03342385,"about_ca_topic_score_gemma":0.0587745,"domain_scores_codex":[0.9985924,0.0005293133,0.00005579309,0.0001301562,0.0001217799,0.0005704855],"domain_scores_gemma":[0.9994674,0.0001297169,0.000113717,0.00001670206,0.0000603242,0.0002121977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00008731079,0.000129115,0.02824766,0.000127482,0.000009770399,0.001019061,0.9545686,0.0000129636,0.0003667501,0.00243499,0.001369379,0.01162696],"study_design_scores_gemma":[0.000002640159,0.00004406014,0.02347468,0.0001111482,0.000004450285,0.0002456634,0.9684275,0.000005303541,0.0000411622,0.00006210495,0.007574926,0.000006450424],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889908,0.003538585,0.00006093669,0.0009907243,0.000227922,0.00002537151,0.00003329928,0.000003224254,0.006129177],"genre_scores_gemma":[0.993416,0.002537058,0.00006042024,0.0006970405,0.00009717368,0.0000273205,0.00003634677,0.000007770688,0.003120782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03342385,"threshold_uncertainty_score":0.06645858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03712038166283823,"score_gpt":0.2042582167535293,"score_spread":0.1671378350906911,"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."}}