{"id":"W2469854837","doi":"10.17516/1997-1370-2016-9-4-824-836","title":"Local Study of the Causes of Labor Migration in the City of Krasnoyarsk (October-November 2015)","year":2016,"lang":"en","type":"article","venue":"Journal of Siberian Federal University Humanities & Social Sciences","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Migrant workers; Geography; Demographic economics; Economic geography; Political science; Economic growth; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001593123,0.00009538831,0.0002876766,0.0001417703,0.00101911,0.00004539555,0.0009514348,0.00006740129,0.0001397255],"category_scores_gemma":[0.00008964196,0.00005589314,0.0001434405,0.0004600665,0.003389358,0.000703627,0.00008887929,0.0001116589,5.25993e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002954161,"about_ca_system_score_gemma":0.0006777635,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008990875,"about_ca_topic_score_gemma":0.08426198,"domain_scores_codex":[0.9978719,0.0005739692,0.0004294953,0.0001146981,0.0008085089,0.000201418],"domain_scores_gemma":[0.9983303,0.0003231571,0.0009380504,0.00007169238,0.0003090676,0.00002776534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001572246,0.000743942,0.5354341,0.00001613948,0.0001421183,0.00001028059,0.3786034,0.00002452459,0.0005227317,0.07933241,0.003322,0.001691105],"study_design_scores_gemma":[0.0007391581,0.0002401149,0.5297521,0.00005502194,0.00003118533,0.000001139689,0.4597299,4.389492e-7,0.0001392467,0.002339921,0.006875064,0.00009663692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856362,0.00002612946,0.000008613183,0.005613859,0.0002335947,0.0001405444,0.00001105691,0.000002890165,0.008327054],"genre_scores_gemma":[0.9984679,0.00005239326,0.00002342852,0.00007465563,0.00009850199,2.362999e-7,1.333774e-7,0.000002518194,0.001280277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0811265,"threshold_uncertainty_score":0.9993228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0531347031317675,"score_gpt":0.2867663935908167,"score_spread":0.2336316904590492,"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."}}