{"id":"W3007077386","doi":"10.15407/mics2017.02.049","title":"UKRAINIANS AND CITIES 1861-1917. NOT SO RURAL AND NOT SO RUSSIFIED","year":2017,"lang":"uk","type":"article","venue":"City History Culture Society","topic":"Global Economic and Social Development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Geography; Socioeconomics; Economic geography; Economic growth; Sociology; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0006925646,0.0005276466,0.001045183,0.00004203844,0.003216154,0.0007037047,0.0005316145,0.0007953765,0.0004677537],"category_scores_gemma":[0.0001472235,0.0006316373,0.0004844481,0.00003656896,0.002592272,0.0005911795,0.000392389,0.0006271701,0.0001533975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001655691,"about_ca_system_score_gemma":0.0003811289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001525372,"about_ca_topic_score_gemma":0.0003082556,"domain_scores_codex":[0.9975315,0.00003034993,0.0007989761,0.0008680105,0.00008988255,0.0006812225],"domain_scores_gemma":[0.9979205,0.00003886652,0.0009729611,0.0006314272,0.00007466941,0.0003616179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001162459,0.0001927472,0.05004228,0.0005954519,0.001368272,0.00001613122,0.464845,0.000002660544,0.0001576064,0.213527,0.260233,0.008903562],"study_design_scores_gemma":[0.00120709,0.00004762277,0.1488133,0.00005206552,0.00005221531,0.00000587147,0.00632074,0.0001519808,0.00001107644,0.001866432,0.8406624,0.0008091768],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8711491,0.02848686,0.00007849219,0.005101197,0.005185446,0.0005822433,0.001163376,0.00009088065,0.08816247],"genre_scores_gemma":[0.9169301,0.01678138,0.0007873232,0.006079669,0.0006561184,0.00002799999,0.00004732655,0.00004812931,0.05864191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5804294,"threshold_uncertainty_score":0.9996135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04377825979123771,"score_gpt":0.2188154850969803,"score_spread":0.1750372253057426,"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."}}