{"id":"W2313496687","doi":"10.1093/notesj/gjt074","title":"Murder in Suspiria: De Quincey's Dark Interpreter","year":2013,"lang":"en","type":"article","venue":"Notes and Queries","topic":"Irish and British Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Interpreter; Queen (butterfly); History; Art history; Computer science; Zoology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001467191,0.00005427068,0.00009573656,0.00002327992,0.0001910065,0.0001053221,0.0000540076,0.00005100481,0.000202111],"category_scores_gemma":[0.0002463705,0.00004862497,0.00001839012,0.00006336523,0.0003219378,0.000217262,0.00004268708,0.00006160507,0.0000166953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002145483,"about_ca_system_score_gemma":0.00003229282,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02206198,"about_ca_topic_score_gemma":0.008599895,"domain_scores_codex":[0.999467,0.00004523421,0.0000823196,0.0001009532,0.00007350949,0.0002310475],"domain_scores_gemma":[0.9997521,0.0001120068,0.00001648914,0.00004135332,0.00003429955,0.00004372449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001952218,0.00004294746,0.7483957,0.00003537118,0.00002224192,0.00001863347,0.07407703,7.817143e-7,0.0003694732,0.004028263,0.08362817,0.08936189],"study_design_scores_gemma":[0.0005453678,0.0001360574,0.7540831,0.0001634104,0.00001287769,0.000005268925,0.04710525,0.00002904236,0.0003566589,0.0182523,0.1788253,0.0004853987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9281798,0.0008042259,0.000035132,0.005459889,0.0001066974,0.0001007887,0.000001792882,0.00002819678,0.0652835],"genre_scores_gemma":[0.9979544,0.0004294912,0.00035597,0.0005773761,0.0001126626,0.00002390317,5.238336e-7,0.000003701776,0.0005419737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09519712,"threshold_uncertainty_score":0.9844502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009478412364479816,"score_gpt":0.2785420703662009,"score_spread":0.2690636580017211,"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."}}