{"id":"W2566053667","doi":"","title":"E-COMMERCE DEVELOPMENT IN RUSSIA: TRENDS AND PROSPECTS","year":2016,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Euros; Competition (biology); The Internet; E-commerce; Relevance (law); Quality (philosophy); Business; Russian economy; Marketing; Computer science; Economics; Political science; Economic system; World Wide Web","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":[0.000989845,0.0001021172,0.000162589,0.0002337811,0.00007163381,0.00009210187,0.0001713988,0.00003128147,0.0001465448],"category_scores_gemma":[0.00002454509,0.00005489435,0.00001822795,0.000117984,0.00005468195,0.0003251574,0.0001278716,0.0001330953,0.00001431873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005137255,"about_ca_system_score_gemma":0.00001625658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003835228,"about_ca_topic_score_gemma":0.00005508621,"domain_scores_codex":[0.9992839,0.00001656556,0.0003875374,0.00007392309,0.0001012492,0.0001368354],"domain_scores_gemma":[0.9995244,0.00006017115,0.0002818951,0.00006503331,0.00005974908,0.000008790335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001855447,0.00008509326,0.1919588,0.00005812403,0.00009974553,0.00001344086,0.00452625,0.000001744847,0.0003180602,0.05737229,0.01152315,0.7338578],"study_design_scores_gemma":[0.001920606,0.00002665458,0.7595811,0.0005775166,0.00002196133,0.00007804713,0.0007229018,0.000116641,0.0001910753,0.00252791,0.2339832,0.0002523759],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778146,0.0001213664,0.000320587,0.01071948,0.0001830371,0.00003611334,1.006807e-7,0.000008515608,0.0107962],"genre_scores_gemma":[0.9949436,0.00004447935,0.0001437944,0.002753075,0.0001401918,0.000001409332,3.854019e-7,0.000008573038,0.001964467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7336054,"threshold_uncertainty_score":0.2238526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640573745074392,"score_gpt":0.2261714580372665,"score_spread":0.2097657205865226,"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."}}