{"id":"W3198573585","doi":"10.15242/icehm.ed0314020","title":"Influence of the International Labour Migration on a National Economy of Armenia","year":2014,"lang":"en","type":"preprint","venue":"","topic":"European and International Law Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Globalization; Immigration; Context (archaeology); Developing country; Wage; Quarter (Canadian coin); World economy; Politics; Developed country; Work (physics); Development economics; Economics; Political science; Demographic economics; Economic growth; Population; Labour economics; Geography; Market economy; Sociology","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":[0.0007533306,0.0001443812,0.0002774548,0.001106627,0.00146932,0.003876413,0.0002709045,0.0006117769,0.007625305],"category_scores_gemma":[0.002033927,0.00008306061,0.0002488284,0.001252952,0.001287308,0.0007973501,0.001762443,0.0008238484,0.0003361214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00287869,"about_ca_system_score_gemma":0.001261392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03034174,"about_ca_topic_score_gemma":0.03196103,"domain_scores_codex":[0.9995099,0.0001464896,0.00001941911,0.00005519217,0.00004059502,0.000228387],"domain_scores_gemma":[0.9994438,0.00018709,0.000143379,0.00003807966,0.00006497237,0.0001226864],"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":[0.003330708,0.0005710936,0.2760623,0.000452401,0.0003508124,0.006633412,0.04507061,0.01383531,0.00801325,0.501888,0.01860942,0.1251827],"study_design_scores_gemma":[0.00006613698,0.0002580808,0.8345261,0.0003063219,0.0002215947,0.0003448993,0.0534029,0.003881375,0.0008934942,0.03439225,0.07165397,0.00005277433],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9493067,0.0003979341,0.00008369103,0.001419635,0.00002945263,0.000004085247,0.0001113384,0.000004606709,0.04864271],"genre_scores_gemma":[0.9967442,0.0001673264,0.00002137261,0.00005965155,0.0000144396,0.000002215791,0.00002206245,0.000002511086,0.00296616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03034174,"threshold_uncertainty_score":0.06033027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02247616159684255,"score_gpt":0.2991564895796757,"score_spread":0.2766803279828332,"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."}}