{"id":"W2906218147","doi":"","title":"ROMANIA AND THE INTERNATIONAL MIGRATIONS FLOWS","year":2017,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Unemployment and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Business; Economic geography; Regional science; Geography","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":[0.0006728239,0.0002441187,0.0002047543,0.00161837,0.001210131,0.002535397,0.0002533807,0.0002860675,0.006578017],"category_scores_gemma":[0.001715821,0.0000942776,0.0002478503,0.003201319,0.000991198,0.001184995,0.001677383,0.0006485234,0.0006348239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526389,"about_ca_system_score_gemma":0.001349491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009280241,"about_ca_topic_score_gemma":0.007132719,"domain_scores_codex":[0.9993932,0.0002296346,0.00004723527,0.0000674135,0.00009919401,0.000163295],"domain_scores_gemma":[0.9996964,0.00005454289,0.0001256982,0.00002552829,0.00005674301,0.00004112672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00009008755,0.00004858306,0.05580389,0.0003250731,0.00004430276,0.001087828,0.01355549,0.001020167,0.0002709973,0.7820541,0.01278497,0.1329145],"study_design_scores_gemma":[0.00002918199,0.00007915614,0.1945837,0.001427063,0.00005165432,0.001694175,0.02555809,0.001605118,0.0002848813,0.05214731,0.722506,0.00003361512],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4544248,0.0248058,0.002333446,0.00998327,0.0006452831,0.00008786053,0.000805712,0.00005008123,0.5068638],"genre_scores_gemma":[0.9607427,0.01232614,0.0008692698,0.0003405131,0.0001581711,0.00003948493,0.0002729711,0.0000226242,0.02522812],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009280241,"threshold_uncertainty_score":0.02200568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04508508656679402,"score_gpt":0.2778145000987234,"score_spread":0.2327294135319294,"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."}}