{"id":"W1001078399","doi":"","title":"[Rezension] \"Reddy, Maureen T.: Traces, codes, and clues : reading race in crime fiction. - New Brunswick, N.J. [u.a.]: Rutgers University Pr., 2003\"","year":2004,"lang":"en","type":"other","venue":"TUbilio (Technical University of Darmstadt)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Reading (process); Race (biology); Sociology; Criminology; Art history; Art; Political science; Law; Gender studies","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002662924,0.0003802106,0.0007421987,0.0006556814,0.0003041162,0.0000586866,0.0004584202,0.0004419603,0.004431489],"category_scores_gemma":[0.0000508511,0.000426706,0.000151234,0.0003013315,0.001008191,0.0002624427,0.000260826,0.0006078,0.00004223597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003715807,"about_ca_system_score_gemma":0.0008344925,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0723091,"about_ca_topic_score_gemma":0.1036683,"domain_scores_codex":[0.9982287,0.0001414286,0.0002774144,0.0006366271,0.000338179,0.0003776886],"domain_scores_gemma":[0.9988049,0.00007276627,0.0003161133,0.0004193922,0.000146542,0.0002403099],"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":[0.0002676136,0.0004079016,0.0005656455,0.0002779283,0.0001888694,0.0002958252,0.002906727,0.0000197407,0.000348319,0.06774429,0.9257474,0.001229763],"study_design_scores_gemma":[0.001674159,0.000188702,0.001404909,0.0005847294,0.0002044021,0.000007295907,0.001657368,0.00001589459,0.00006872253,0.0006197042,0.9930182,0.0005559853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003331206,0.001052198,0.0001785669,0.0005873083,0.0003317931,0.001002401,0.0004923115,0.0004291344,0.9925951],"genre_scores_gemma":[0.06241601,0.002877311,0.001275536,0.00006734674,0.0002480986,1.721844e-7,0.0001883988,0.0001830264,0.9327441],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06727076,"threshold_uncertainty_score":0.9998185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491977574770363,"score_gpt":0.2070799458753642,"score_spread":0.1921601701276605,"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."}}