{"id":"W4390742077","doi":"10.1017/9781800108875.005","title":"Imagi(ni)ng the Prose Epic","year":2023,"lang":"en","type":"other","venue":"","topic":"Historical and Literary Analyses","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Spectacle; EPIC; Art; Painting; Art history; Humanities; Philosophy; Literature; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006420467,0.0006913863,0.0001919169,0.0005869575,0.003677415,0.007994656,0.0004390045,0.000973322,0.03829225],"category_scores_gemma":[0.001266408,0.0002032203,0.0001852279,0.0005056941,0.004428809,0.003641467,0.003443732,0.002321269,0.01173101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536797,"about_ca_system_score_gemma":0.000938779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001711265,"about_ca_topic_score_gemma":0.003835587,"domain_scores_codex":[0.9995034,0.0002183603,0.00001444633,0.00008932503,0.0001139462,0.00006058149],"domain_scores_gemma":[0.9996771,0.00007336971,0.00002639794,0.00007921304,0.00008301929,0.00006083178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007000634,0.00002978727,0.0006546261,0.0001567053,0.000005712854,0.0003511041,0.03768149,0.00005028523,0.0007994198,0.7241198,0.1723072,0.06377385],"study_design_scores_gemma":[0.000002892755,0.000008440048,0.0001798283,0.0000497777,0.000001784532,0.0001364286,0.002626502,0.00002779147,0.0001330132,0.005072069,0.9917585,0.000002883057],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00428093,0.001991075,0.001508042,0.004382523,0.0009120335,0.00002149052,0.00004933478,0.00009719686,0.9867574],"genre_scores_gemma":[0.1543007,0.002342544,0.001394656,0.002427276,0.001056768,0.00008264375,0.0001085791,0.0002353536,0.8380515],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03829225,"threshold_uncertainty_score":0.1281004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03525523318815429,"score_gpt":0.2285543223983504,"score_spread":0.1932990892101961,"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."}}