{"id":"W4405721820","doi":"10.1080/00144940.2024.2443761","title":"“He was not a Mozart”: irony in Aldous Huxley’s “Young Archimedes”","year":2024,"lang":"en","type":"article","venue":"The Explicator","topic":"Gothic Literature and Media Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"MOZART; Irony; Physics; Philosophy; Literature; Art","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001021983,0.0001121596,0.0001669422,0.0001197344,0.0002230604,0.0001934118,0.0004435459,0.00009456182,0.0002934592],"category_scores_gemma":[0.0001586367,0.0000732704,0.0001271365,0.0006840097,0.0001993326,0.0001384351,0.00005505244,0.0003372469,0.0005168402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008329774,"about_ca_system_score_gemma":0.0001884137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001785414,"about_ca_topic_score_gemma":0.002931913,"domain_scores_codex":[0.9985389,0.0002142252,0.000195478,0.0002864952,0.0003870807,0.0003778808],"domain_scores_gemma":[0.9991308,0.0003302272,0.00002853542,0.0003577893,0.00002109782,0.0001315568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006369314,0.0001558816,0.001570244,0.00007153725,0.0002393787,0.0002262779,0.5291467,0.000008644457,0.008448766,0.3230435,0.08904235,0.04798294],"study_design_scores_gemma":[0.0001444751,0.00001836039,0.0006598001,0.00006538293,0.00007440676,0.000005376951,0.006623928,0.0001946182,0.0008974831,0.007328348,0.9837956,0.0001922475],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6376377,0.008613912,0.0003867649,0.1741267,0.002556304,0.001208086,0.00003533163,0.0006626147,0.1747726],"genre_scores_gemma":[0.9817377,0.0002933056,0.00008099984,0.001201887,0.0008290773,0.0001204573,0.00000500921,0.00001572833,0.01571585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8947532,"threshold_uncertainty_score":0.6643108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01963746570290953,"score_gpt":0.3113886394781309,"score_spread":0.2917511737752214,"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."}}