{"id":"W2094474086","doi":"10.1017/s0266078408000023","title":"Two thousand million?","year":2008,"lang":"en","type":"article","venue":"English Today","topic":"Russia and Soviet political economy","field":"Social Sciences","cited_by":280,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aside; Quarter (Canadian coin); History; Population; Reading (process); Demography; Sociology; Literature; Linguistics; Art; Philosophy; Archaeology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002857453,0.00006740107,0.0001163492,0.00003039692,0.0005407252,0.00003520206,0.0001643743,0.0000624328,0.001836841],"category_scores_gemma":[0.0004061589,0.00006289777,0.00006505618,0.00011867,0.0002489595,0.0001925149,0.00002017909,0.0001080051,0.0002707747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004305618,"about_ca_system_score_gemma":0.0001326941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007969529,"about_ca_topic_score_gemma":0.0002291454,"domain_scores_codex":[0.9991018,0.0001091067,0.000126023,0.0001524098,0.0001639365,0.0003467587],"domain_scores_gemma":[0.9994367,0.0001379779,0.00002305562,0.0001340112,0.00005898213,0.0002092429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004135297,0.00005500228,0.01232636,0.000002591998,0.0000115296,0.00003188625,0.04381262,0.000006827751,0.000004095546,0.9160165,0.02623975,0.001488666],"study_design_scores_gemma":[0.0002535946,0.00001259465,0.004126668,0.000003881421,0.000003676089,0.000001042519,0.002027024,0.000005540704,0.00006558896,0.004667558,0.9887095,0.0001232931],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.23589,0.00009365373,0.00002415346,0.0008566938,0.0005975366,0.00007471124,0.000002032455,0.0001134931,0.7623478],"genre_scores_gemma":[0.9844257,0.0001159484,0.0002503573,0.0005579162,0.001567105,0.000009738915,0.000001649683,0.000007794609,0.01306381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9624698,"threshold_uncertainty_score":0.9990756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02070512217908565,"score_gpt":0.2900723257765665,"score_spread":0.2693672035974808,"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."}}