{"id":"W2144237055","doi":"10.1177/2233865914535597","title":"Death by demography: 1979 as a turning point in the disintegration of the Soviet Union","year":2014,"lang":"en","type":"article","venue":"International Area Studies Review","topic":"Soviet and Russian History","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Dalhousie University","keywords":"Census; Soviet union; Population; Turning point; Communism; Politics; Development economics; Demography; Power (physics); Political science; Slavic languages; Geography; Economic history; Political economy; Sociology; History; Law; Economics; Period (music)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001235233,0.00008168609,0.0001760071,0.00003512355,0.0002297373,0.00001437391,0.0004286991,0.00002444626,0.0001060038],"category_scores_gemma":[0.001085226,0.00004099607,0.0001423219,0.0002365412,0.0001947661,0.0000873715,0.00004842419,0.0001125598,0.000009303975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007617936,"about_ca_system_score_gemma":0.00003307683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000579847,"about_ca_topic_score_gemma":0.0009836922,"domain_scores_codex":[0.9985565,0.0005264088,0.0002609222,0.0001206788,0.0004344287,0.0001010539],"domain_scores_gemma":[0.9992712,0.0002814535,0.0001842619,0.0001264548,0.0001209375,0.00001575286],"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":[0.0000192934,0.0002608949,0.08924308,0.0005873413,0.0003509044,0.000003032225,0.04863007,0.0000053166,0.00005700525,0.4310904,0.2516373,0.1781153],"study_design_scores_gemma":[0.0001237178,0.00002544873,0.02233942,0.002028985,0.00003781921,0.000001867163,0.003072969,0.00001155188,0.000007937267,0.00613677,0.966117,0.00009650767],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02623354,0.305084,0.0002600409,0.1346334,0.002581193,0.001473334,0.0000254819,0.0000520978,0.529657],"genre_scores_gemma":[0.911313,0.08535371,0.00003312413,0.002638863,0.0001070362,0.00004793887,0.000005788047,0.000004207922,0.0004963609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8850794,"threshold_uncertainty_score":0.1766977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03631386788462764,"score_gpt":0.3477439044511991,"score_spread":0.3114300365665715,"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."}}