{"id":"W77425917","doi":"","title":"Russia between Yesterday and Tomorrow","year":2000,"lang":"en","type":"article","venue":"Canadian Slavonic Papers","topic":"Russia and Soviet political economy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Yesterday; Vision; Politics; Power (physics); Narrative; History; Media studies; Political science; Sociology; Literature; Law; Art; Anthropology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002555916,0.0006898846,0.0004312758,0.0010051,0.00443946,0.002788416,0.000798827,0.001130194,0.1145517],"category_scores_gemma":[0.000459288,0.0004678056,0.000281522,0.002109068,0.0007298047,0.003127013,0.002405586,0.001656628,0.02882486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00325168,"about_ca_system_score_gemma":0.00311989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1508233,"about_ca_topic_score_gemma":0.3648939,"domain_scores_codex":[0.9997451,0.00004232911,0.000008964061,0.00004980421,0.00006317446,0.00009063333],"domain_scores_gemma":[0.9998323,0.0000131866,0.00002398107,0.000007100071,0.0000332241,0.00009023346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003236096,0.00001181037,0.0005790518,0.000185142,0.000007099073,0.0002174313,0.004880399,0.00001866798,0.00009802978,0.01491969,0.921358,0.05769236],"study_design_scores_gemma":[0.000001447623,0.000002006598,0.002165947,0.000130525,0.000001706618,0.00005729664,0.001442956,0.00000177353,0.00002299992,0.0003144957,0.995856,0.000002815104],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.004521802,0.6084419,0.0002387267,0.04735552,0.01074718,0.00002450937,0.001608906,0.0001705924,0.3268909],"genre_scores_gemma":[0.06096161,0.157868,0.0004049052,0.00359698,0.001280156,0.000060051,0.001514628,0.000170796,0.7741429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1508233,"threshold_uncertainty_score":0.3832138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089152507370265,"score_gpt":0.2527450101031002,"score_spread":0.2418534850293976,"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."}}