{"id":"W4404443839","doi":"10.1353/phx.2023.a942860","title":"Too Much . . . Too Little . . . Just Right: Adjustments of Dionysus’ Heroism in Nonnus’ Dionysiaca","year":2023,"lang":"fr","type":"article","venue":"Phoenix","topic":"Classical Antiquity Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art; History; Ancient history; Aesthetics","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":[0.0008580544,0.0003557146,0.000732917,0.0002175607,0.0004132042,0.00005400866,0.0006011133,0.0003028109,0.000795449],"category_scores_gemma":[0.0005558928,0.0003496747,0.0003117841,0.002764401,0.001228644,0.0004056384,0.0005446493,0.0004176867,0.001634127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003946327,"about_ca_system_score_gemma":0.0001743563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004143605,"about_ca_topic_score_gemma":0.00731841,"domain_scores_codex":[0.9961794,0.0003931731,0.0007470075,0.0006311974,0.0009592174,0.001090031],"domain_scores_gemma":[0.9983447,0.0006084996,0.0002397145,0.0004008243,0.0001675302,0.0002387226],"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":[0.0001544142,0.002458115,0.03275918,0.0008263367,0.0004011322,0.0004020036,0.1371244,0.0001039763,0.002045329,0.1106864,0.5423205,0.1707183],"study_design_scores_gemma":[0.001271842,0.0002249213,0.07313963,0.0004220104,0.0001379101,0.000003071314,0.01246833,0.0003733764,0.001863765,0.009390291,0.9000472,0.0006576692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8582264,0.003512203,0.00001475806,0.0638213,0.004157633,0.0006402064,0.0001544315,0.0001798908,0.06929317],"genre_scores_gemma":[0.8751321,0.004392334,0.0000942826,0.0003498029,0.0006785517,0.00005758265,0.00002316687,0.00003628722,0.1192358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3577267,"threshold_uncertainty_score":0.9998955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05776538599499267,"score_gpt":0.341276028967745,"score_spread":0.2835106429727523,"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."}}