{"meta":{"query_hash":"8717361b9953","filters":{"venue":"TUjournals"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/8717361b9953","api":"https://metacan.xera.ac/api/v1/cohort?venue=TUjournals"},"results":[{"id":"W7105737027","doi":"10.48694/jcls.4168","title":"Towards a Perspectival Moral History of the Novel Using LLMs","year":2025,"lang":"","type":"article","venue":"TUjournals","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Narrative; Inference; Situated; Interpretation (philosophy); Expression (computer science); Plot (graphics); Value (mathematics); Moral disengagement","score_opus":0.14775075654288508,"score_gpt":0.41103372530654103,"score_spread":0.263282968763656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7105737027","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.103484355,0.0011094185,0.83313996,0.006041156,0.00015943761,0.00021971065,0.0012414184,0.00092223554,0.05368229],"genre_scores_gemma":[0.78043514,0.00041311458,0.21396478,0.00022867753,0.000083761675,0.00023959397,0.0007103177,0.0003304387,0.0035942676],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9958817,0.0031419664,0.000112417845,0.00047160633,0.0003041222,0.00008813021],"domain_scores_gemma":[0.985255,0.010986838,0.0013519384,0.0017166433,0.0003911855,0.00029824788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054538455,0.00063152116,0.00045954526,0.0043985904,0.0023287924,0.013404857,0.0014732246,0.0011782696,0.006166937],"category_scores_gemma":[0.026416175,0.0005830314,0.0007439609,0.0026463897,0.009313197,0.016459566,0.004931399,0.0025363802,0.0007536221],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043992124,0.000021487785,0.0023849625,0.00020756057,0.000025229832,0.0001374769,0.0483259,0.004241844,0.00068481045,0.9128527,0.0014523157,0.029621735],"study_design_scores_gemma":[0.000010346993,0.000019303865,0.001603328,0.00025773662,0.000018790559,0.0001819267,0.02350401,0.04165924,0.0010070027,0.87294155,0.05876395,0.000032804368],"about_ca_topic_score_codex":0.0023444523,"about_ca_topic_score_gemma":0.003915045,"teacher_disagreement_score":0.013404857,"about_ca_system_score_codex":0.0031537048,"about_ca_system_score_gemma":0.0017820393,"threshold_uncertainty_score":0.028842986},"labels":[],"label_agreement":null}]}