{"id":"W4241050653","doi":"10.1017/s0040557420000228","title":"TSY volume 61 issue 3 Cover and Front matter","year":2020,"lang":"en","type":"article","venue":"Theatre Survey","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"University of Cambridge; Society for Theatre Research","keywords":"Front cover; Cover (algebra); Front (military); Volume (thermodynamics); Action (physics); Content (measure theory); Computer science; Environmental science; Geography; Engineering; Mathematics; Meteorology; Mechanical engineering; Physics; Thermodynamics; Mathematical analysis","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004930923,0.0001176779,0.0003233391,0.00004206012,0.000107797,0.0001152613,0.0001388718,0.00004367353,0.1074394],"category_scores_gemma":[0.00003222683,0.0001262265,0.00004820297,0.00006520345,0.0001085069,0.000143104,0.0001287267,0.00006667742,0.4102454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002345948,"about_ca_system_score_gemma":0.000005935406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001054334,"about_ca_topic_score_gemma":0.00002526301,"domain_scores_codex":[0.9990785,0.00002068875,0.0002661426,0.0004000718,0.00001846082,0.0002162102],"domain_scores_gemma":[0.9995784,0.00003686383,0.00008882774,0.0001799663,0.00001187737,0.0001040955],"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":[0.00001463531,0.000009082901,0.3516187,0.000008454386,0.00003633568,9.675916e-7,0.0008165175,0.00001038198,8.357668e-7,0.0001706681,0.6470894,0.0002240834],"study_design_scores_gemma":[0.0002606673,0.00001939492,0.2106005,0.000002180084,0.000003239979,5.342217e-7,0.0001209291,0.0005840296,0.000004000113,0.0001978711,0.7880411,0.0001655512],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1232274,0.001678489,0.0002494669,0.002686958,0.001412048,0.000163464,0.001943789,0.00004155741,0.8685969],"genre_scores_gemma":[0.6632084,0.00009253205,0.00008200495,0.002120511,0.0001484607,0.000004147552,0.00002540218,0.00001612198,0.3343025],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.539981,"threshold_uncertainty_score":0.8933765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04389097358226575,"score_gpt":0.2026824845660517,"score_spread":0.1587915109837859,"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."}}