{"id":"W4414883823","doi":"10.1177/036063252205200912","title":"A Bard for all Seasons","year":2022,"lang":"en","type":"article","venue":"Lighting Design + Application","topic":"Shakespeare, Adaptation, and Literary Criticism","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Moonlight; Natural (archaeology); Feature (linguistics); Period (music)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003603688,0.00009992321,0.00009986961,0.00006413247,0.0008673487,0.0001277467,0.0001654501,0.00001752803,0.0005415199],"category_scores_gemma":[0.00002292222,0.0001050511,0.00006193599,0.00004385447,0.00003339039,0.0001401717,0.00002302261,0.00008047793,0.0000486063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004853643,"about_ca_system_score_gemma":0.0000317659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003558341,"about_ca_topic_score_gemma":0.00001248428,"domain_scores_codex":[0.9991492,0.00007387323,0.0001701965,0.0002453068,0.0001676326,0.0001937772],"domain_scores_gemma":[0.9993656,0.0002309365,0.00008614246,0.0001901439,0.00008396534,0.00004318412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005438892,0.00008728157,0.00002624553,0.00003041304,0.00002761049,6.981808e-7,0.03895936,0.000243771,0.001606724,0.9166084,0.03599673,0.006358411],"study_design_scores_gemma":[0.0002531705,0.00009175065,0.00002255904,0.000003866881,0.00003154169,0.000002314898,0.002314265,0.008917792,0.0003122604,0.01629992,0.9716002,0.0001503931],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02952847,0.001185626,0.8570537,0.009250969,0.001487724,0.005634396,0.0004713294,0.001316793,0.094071],"genre_scores_gemma":[0.9793481,0.00000269187,0.005266252,0.00136584,0.0008904681,0.002428147,0.0002951695,0.00003717847,0.01036617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9498196,"threshold_uncertainty_score":0.6671032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06019838640897117,"score_gpt":0.25650480266293,"score_spread":0.1963064162539588,"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."}}