{"id":"W121723317","doi":"","title":"Race under Reconstruction in German Cinema: Robert Stemmle's Toxi by Angelica Fenner (review)","year":2014,"lang":"en","type":"article","venue":"Seminar A Journal of Germanic Studies","topic":"German History and Society","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Race (biology); German; Movie theater; Art; Art history; History; Sociology; Archaeology; Gender studies","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":[0.0009141722,0.0002180081,0.0006521986,0.0001001654,0.0002862986,0.00002669456,0.0001921492,0.00005612379,0.0004413943],"category_scores_gemma":[0.00007410412,0.0001718384,0.0002359749,0.000064395,0.0002711703,0.0003285606,0.00005309451,0.0003516059,0.000044443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001721886,"about_ca_system_score_gemma":0.00002831838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001158692,"about_ca_topic_score_gemma":0.0001626485,"domain_scores_codex":[0.9983975,0.0001816581,0.0007144822,0.0001767217,0.0002663125,0.0002632954],"domain_scores_gemma":[0.9987516,0.0001784695,0.0005185929,0.0001821605,0.0002965106,0.00007266364],"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":[0.00003880108,0.0001418849,0.0001311382,0.0006272648,0.0003148261,0.00001958137,0.04004423,0.000005320804,0.0006278922,0.004726617,0.944774,0.00854841],"study_design_scores_gemma":[0.000857797,0.0002842305,0.0003647672,0.002095689,0.0002041695,0.0002636222,0.01149229,0.00001765144,0.000119425,0.0009399306,0.9830127,0.0003477779],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5826461,0.3863328,0.0000378989,0.00550939,0.003140317,0.000348245,0.00001572339,0.00004810976,0.02192149],"genre_scores_gemma":[0.9065606,0.06451254,0.00009587229,0.002903806,0.001682092,0.00001929367,0.000005631093,0.00004811471,0.02417203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3239146,"threshold_uncertainty_score":0.7007368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02327221521835714,"score_gpt":0.2753539307002655,"score_spread":0.2520817154819083,"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."}}