{"id":"W1917072491","doi":"10.21971/p7x88g","title":"Hunting in Seneca’s Phaedra","year":2013,"lang":"en","type":"article","venue":"Crossing boundaries","topic":"Classical Antiquity Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Elegiac; Elegy; Theme (computing); Tragedy (event); Literature; Prologue; Lament; Art; Passion; Philosophy; Poetry; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005059058,0.0005381392,0.0002758448,0.0008538484,0.01190871,0.005187835,0.0007873058,0.001126012,0.01570164],"category_scores_gemma":[0.0009027894,0.0003769441,0.0002166225,0.000910714,0.008701054,0.002214902,0.003610355,0.002204805,0.002026224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002660862,"about_ca_system_score_gemma":0.001291031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0267005,"about_ca_topic_score_gemma":0.1246638,"domain_scores_codex":[0.999438,0.000228731,0.00001262085,0.00009621955,0.0000654865,0.0001588709],"domain_scores_gemma":[0.9996639,0.00007475969,0.00003474643,0.0000365896,0.000065698,0.0001242102],"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":[0.0005656323,0.0002084029,0.009485368,0.0005220437,0.00004988035,0.01365702,0.5484371,0.0002566353,0.006859134,0.2636868,0.07277778,0.08349422],"study_design_scores_gemma":[0.00001613454,0.0001137684,0.00565068,0.000379796,0.00001635707,0.002871668,0.1542554,0.0001520404,0.001061582,0.004683088,0.8307384,0.00006110415],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3408008,0.002421947,0.00190824,0.004866753,0.0005550233,0.00006585859,0.0001633277,0.0001514475,0.6490667],"genre_scores_gemma":[0.8050373,0.001288854,0.001614014,0.001153502,0.00007028693,0.0000487412,0.0001205182,0.0001576821,0.1905092],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0267005,"threshold_uncertainty_score":0.05309016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03300046677591814,"score_gpt":0.3320409455930169,"score_spread":0.2990404788170987,"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."}}