{"id":"W4225496195","doi":"10.1080/00085006.2022.2027129","title":"Labour, mobility and informal practices in Russia, Central Asia and Eastern Europe: power, institutions and mobile actors in transnational space","year":2022,"lang":"en","type":"article","venue":"Canadian Slavonic Papers","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Arts and Humanities Research Council","keywords":"Space (punctuation); Central asia; Power (physics); Political science; Economic geography; Economy; Geography; Business; International trade; Economics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000534804,0.0001000102,0.0001207401,0.0001987059,0.0005327588,0.00008001045,0.0001235217,0.00005667207,0.0003032226],"category_scores_gemma":[0.000101164,0.0001182155,0.00001497573,0.0003211341,0.0003801718,0.0004888612,0.00003722354,0.0002407234,9.930502e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007204469,"about_ca_system_score_gemma":0.002656741,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09533003,"about_ca_topic_score_gemma":0.7263612,"domain_scores_codex":[0.9988734,0.0001451917,0.000175583,0.0002425734,0.0001628804,0.0004004131],"domain_scores_gemma":[0.9993842,0.0000968762,0.00008180709,0.00006458634,0.00001293778,0.0003596429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001830879,0.00003500026,0.7872411,0.000009862447,0.0000212106,0.00004292214,0.0456662,0.000197716,0.000007819096,0.1613848,0.00005483612,0.005320267],"study_design_scores_gemma":[0.0003257075,0.00001622365,0.6296247,0.000002859637,0.000002534763,0.000005424642,0.01330264,0.00002620805,1.759534e-7,0.00004636454,0.3565455,0.0001015912],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.95736,0.0002975733,1.39083e-7,0.006921804,0.0001316417,0.0002339849,0.00006509935,0.000009833276,0.03497988],"genre_scores_gemma":[0.9985121,0.0002068611,0.00003070491,0.0002763516,0.00001146173,0.00005146212,0.00001507518,0.000005726475,0.0008902527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6310312,"threshold_uncertainty_score":0.9106942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02201959134773724,"score_gpt":0.2775917095439566,"score_spread":0.2555721181962194,"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."}}