{"id":"W4375950421","doi":"10.1017/s0067237823000103","title":"Andriy Zayarnyuk. Lviv's Uncertain Destination: A City and its Train Terminal from Franz Joseph I to Brezhnev Toronto: University of Toronto Press, 2020. Pp. 392.","year":2023,"lang":"en","type":"article","venue":"Austrian History Yearbook","topic":"Central European and Russian historical studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Terminal (telecommunication); Media studies; Sociology; Regional science; Engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003277446,0.0008041537,0.0003986446,0.001141449,0.001296971,0.002383277,0.0007111406,0.0008241765,0.02045716],"category_scores_gemma":[0.0005340771,0.0004641964,0.0001895672,0.002390263,0.001076178,0.003294465,0.0009101758,0.001637213,0.006954793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003165485,"about_ca_system_score_gemma":0.002033302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05818988,"about_ca_topic_score_gemma":0.1231751,"domain_scores_codex":[0.9998865,0.00002845651,0.000009669696,0.0000177657,0.00002883839,0.00002874843],"domain_scores_gemma":[0.9998447,0.00004935401,0.00003612938,0.000007508315,0.0000282543,0.00003405062],"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":[0.00008091351,0.000009790549,0.0008761942,0.0005523782,0.00001439289,0.0002136425,0.006227951,0.0003530199,0.0001741162,0.04988368,0.8433309,0.09828313],"study_design_scores_gemma":[0.000007266297,0.000008652236,0.005565213,0.0005859161,0.000008977515,0.0001117419,0.002477353,0.00003971752,0.0001118821,0.004464204,0.9866096,0.000009376352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003946937,0.9058257,0.0005401663,0.02616273,0.003577684,0.000004717985,0.001073366,0.00009474103,0.05877402],"genre_scores_gemma":[0.1498868,0.6124961,0.0008480928,0.00199962,0.002784244,0.00002714911,0.001874709,0.0003123493,0.2297709],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.05818988,"threshold_uncertainty_score":0.1157023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04690552026047819,"score_gpt":0.2639267367482626,"score_spread":0.2170212164877844,"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."}}