{"id":"W4232611541","doi":"10.1353/mdr.2013.0009","title":"To Witness Mimesis: The Politics, Ethics, and Aesthetics of Testimonial Theatre in Through the Wire","year":2013,"lang":"en","type":"article","venue":"Modern Drama","topic":"Theatre and Performance Studies","field":"Arts and Humanities","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.0001811823,0.0001304381,0.0001670587,0.0000248433,0.0005383969,0.0001114191,0.000207189,0.00004590978,0.00007713393],"category_scores_gemma":[0.00002255276,0.00006460418,0.0000364533,0.00003060871,0.0007374597,0.0001299045,0.00009935903,0.000288374,0.0000287663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001053503,"about_ca_system_score_gemma":0.00003113413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006335708,"about_ca_topic_score_gemma":0.00463444,"domain_scores_codex":[0.9992224,0.00007284998,0.0001885689,0.0001295159,0.0001534963,0.0002331505],"domain_scores_gemma":[0.9993479,0.0002291639,0.00004155662,0.0002608782,0.00009605081,0.00002440383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000158564,0.00006667223,0.003663111,0.00005963409,0.00004097454,0.000001104403,0.7982256,0.0001319407,0.00002113123,0.177145,0.003474089,0.01715483],"study_design_scores_gemma":[0.0009941109,0.0005155625,0.01451626,0.0004062542,0.0001300112,0.00001395781,0.1471406,0.003370181,0.0004290488,0.5393679,0.2924124,0.000703792],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9115883,0.0014829,0.00004700948,0.05255849,0.000205269,0.0004343742,0.0000256738,0.00002870854,0.03362931],"genre_scores_gemma":[0.9960431,0.00009276592,0.00003892967,0.001556348,0.0002506212,0.00003932924,0.000001117542,0.00001446993,0.001963325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.651085,"threshold_uncertainty_score":0.9577738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03582261467214222,"score_gpt":0.2578824935381754,"score_spread":0.2220598788660332,"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."}}