{"id":"W4400047260","doi":"10.51955/2312-1327_2024_2_189","title":"“SOVIET SCREEN” MAGAZINE IN THE \"PERESTROIKA\" ERA","year":2024,"lang":"en","type":"article","venue":"Crede Experto Transport Society Education Language","topic":"Security, Politics, and Digital Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Oxford; York University","keywords":"Movie theater; National cinema; Bourgeoisie; Context (archaeology); Criticism; Politics; Portrait; Period (music); Subject (documents); Media studies; History; Political science; Art; Sociology; Literature; Art history; Aesthetics; Law; Library science; Archaeology","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":[0.0005444367,0.0001486107,0.0001307633,0.00006029506,0.000274775,0.0002331102,0.0003038695,0.0001285295,0.0006154539],"category_scores_gemma":[0.00002961496,0.0001214221,0.0002378146,0.0003466571,0.0002540204,0.0006822345,0.000003664139,0.0002468992,0.0000978741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001265649,"about_ca_system_score_gemma":0.0008174138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003425358,"about_ca_topic_score_gemma":0.002296517,"domain_scores_codex":[0.998593,0.0000789324,0.0002892279,0.000244329,0.0004254983,0.0003690542],"domain_scores_gemma":[0.9994831,0.0001160889,0.00002642703,0.0002135477,0.00004868815,0.0001121588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000005486982,0.0002551835,0.002031294,0.00009951461,0.00001815411,0.000007845893,0.8655909,0.000002722423,0.0001318357,0.0965815,0.02562742,0.009648104],"study_design_scores_gemma":[0.00021755,0.00002461529,0.01539204,0.0001340512,0.00002935947,0.000005882109,0.5548843,0.00007699989,0.0001154141,0.001966617,0.4268618,0.0002913389],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5502089,0.01156516,0.0009725708,0.01658145,0.001564966,0.0009641252,0.0001172245,0.0004263222,0.4175992],"genre_scores_gemma":[0.9916551,0.0005945091,0.0003901169,0.003040528,0.0009620381,0.00009442177,0.0003296354,0.00001928132,0.002914346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4414462,"threshold_uncertainty_score":0.6738788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02270794118511299,"score_gpt":0.3520692390003224,"score_spread":0.3293612978152095,"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."}}