{"id":"W3093891313","doi":"10.29173/topo26","title":"Seizing the Means of Domesticity: Mass-Housing Spaces, Objects and Relationships in Soviet Everyday Life","year":2020,"lang":"en","type":"article","venue":"Topophilia","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Everyday life; State (computer science); Uncanny; Modernization theory; Sociology; Aesthetics; Fetishism; Ethnography; Realm; Political science; Art; Law; Anthropology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00055012,0.00005787834,0.0001127049,0.00003607049,0.0003219069,0.00005678071,0.000105974,0.00005899495,0.00008819821],"category_scores_gemma":[0.001603197,0.00004982631,0.00001805481,0.0004776996,0.0001306476,0.0001358221,0.00002752337,0.0001700183,0.000008217716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001523106,"about_ca_system_score_gemma":0.0001136157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004333643,"about_ca_topic_score_gemma":0.0008382659,"domain_scores_codex":[0.9991438,0.000229217,0.0001559291,0.0001222717,0.000209721,0.0001390678],"domain_scores_gemma":[0.9994793,0.0002537747,0.00007386612,0.00006546603,0.00003587204,0.00009174561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002626545,0.00002684267,0.6844676,0.00005647607,0.00002249682,0.00001377642,0.2466482,0.001695375,0.0005286915,0.06335901,0.002518377,0.0006369823],"study_design_scores_gemma":[0.002644707,0.0002006295,0.3814228,0.0005144495,0.000204574,0.000005727551,0.5002168,0.02576504,0.0005293663,0.03112005,0.0561107,0.001265105],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9059901,0.0008116103,0.001423633,0.03475357,0.0001948621,0.0004004396,0.000007593246,0.000127161,0.05629107],"genre_scores_gemma":[0.9985541,0.00004276463,0.0003721635,0.0007638467,0.0001061126,0.000001478548,0.000001613232,0.000006227533,0.0001516655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3030447,"threshold_uncertainty_score":0.247588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06905924860796482,"score_gpt":0.2801712647325806,"score_spread":0.2111120161246158,"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."}}