{"id":"W2918966947","doi":"","title":"Review of Remapping the Indian Postcolonial Canon: Remap, Reimagine, Retranslate by Nirmala Menon","year":2018,"lang":"en","type":"article","venue":"Postcolonial text","topic":"Postcolonial and Cultural Literary Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Canon; History; Computer science; Art; Literature","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006068047,0.000426315,0.000674258,0.00007688844,0.001139713,0.000147293,0.0006647055,0.00009380751,0.002098972],"category_scores_gemma":[0.0001485707,0.0002727638,0.0002723086,0.0002381132,0.001316866,0.0004469047,0.0001705859,0.0003824631,0.0002617656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006777139,"about_ca_system_score_gemma":0.0001233754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001023944,"about_ca_topic_score_gemma":0.002966706,"domain_scores_codex":[0.9973221,0.0002343672,0.0008486201,0.0004769829,0.00044624,0.0006716808],"domain_scores_gemma":[0.9982646,0.0001404455,0.0004098449,0.0005008626,0.000555128,0.0001291342],"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":[0.0007152797,0.0003026693,0.000431177,0.003517374,0.0006283696,0.00005665137,0.1103435,1.658482e-7,0.006518593,0.02910757,0.8079448,0.04043388],"study_design_scores_gemma":[0.0004594654,0.0007754709,0.0005925677,0.002423232,0.0001396304,0.00003141484,0.0002595279,0.000003753202,0.0008838127,0.0006678145,0.9933587,0.0004045576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2281404,0.2024425,0.000004885492,0.2284458,0.006979268,0.004677859,0.00200999,0.0005544936,0.3267448],"genre_scores_gemma":[0.9581454,0.006353059,0.0000785237,0.01751671,0.003079408,0.0001019128,0.0001283909,0.00005969438,0.01453687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.730005,"threshold_uncertainty_score":0.9999725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527573741288038,"score_gpt":0.2448954809017443,"score_spread":0.2296197434888639,"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."}}