{"id":"W2606002539","doi":"10.19170/eebs.2016.40.4.129","title":"Romanian Diaspora in Transition","year":2016,"lang":"en","type":"article","venue":"East European and Balkan Institute","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diaspora; Romanian; Population; Political science; Sociology; History; Law; Demography","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":[0.001503073,0.0002786719,0.0003744403,0.0007097718,0.003568538,0.004259808,0.0004287852,0.0007559058,0.01140429],"category_scores_gemma":[0.002033708,0.0002098795,0.0003343264,0.001483592,0.003234369,0.002331421,0.004316895,0.001354566,0.00123452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002650111,"about_ca_system_score_gemma":0.002901579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008918243,"about_ca_topic_score_gemma":0.01360822,"domain_scores_codex":[0.998321,0.0007905065,0.00007285234,0.000153566,0.0001073558,0.0005547562],"domain_scores_gemma":[0.9996254,0.00008392247,0.00006331997,0.00003975518,0.00004373549,0.0001438696],"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":[0.0005020853,0.000254517,0.04317852,0.000775092,0.0000503586,0.003085475,0.1406424,0.0003817791,0.001610356,0.666768,0.03068487,0.1120665],"study_design_scores_gemma":[0.0001253243,0.0002082348,0.08607727,0.00110021,0.00003164239,0.001867021,0.1943237,0.0004248726,0.001148817,0.01751586,0.6971297,0.00004734045],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6160854,0.009811788,0.0009071867,0.00959934,0.000370282,0.0001401922,0.0003397414,0.00004097309,0.3627051],"genre_scores_gemma":[0.9782225,0.001824215,0.0002181744,0.0007927996,0.00004629467,0.00006422507,0.00007682242,0.00001920275,0.01873579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01140429,"threshold_uncertainty_score":0.03815109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02305293239821939,"score_gpt":0.2414212012470195,"score_spread":0.2183682688488002,"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."}}