{"id":"W2805589669","doi":"10.12745/et.21.1.3270","title":"‘Look What Market She Hath Made’: Women, Commerce, and Power in &lt;i&gt;A Chaste Maid in Cheapside&lt;/i&gt; and &lt;i&gt;Bartholomew Fair&lt;/i&gt;","year":2017,"lang":"en","type":"article","venue":"Early Theatre","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Power (physics); Art; Sociology; Gender studies; Law; Advertising; Economics; Political science; Business","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"],"consensus_categories":[],"category_scores_codex":[0.001567692,0.0005886914,0.001571358,0.0003908214,0.0008087412,0.0006569588,0.0006195418,0.0004690976,0.0007380271],"category_scores_gemma":[0.0001621613,0.0006609886,0.0001917903,0.0002268042,0.0006728067,0.001484985,0.0005198831,0.0004842101,0.0003672798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006682993,"about_ca_system_score_gemma":0.0000532166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002072272,"about_ca_topic_score_gemma":0.001812402,"domain_scores_codex":[0.9963925,0.0001021981,0.001143296,0.001122137,0.0001143745,0.00112548],"domain_scores_gemma":[0.9979253,0.0002091436,0.0005622786,0.0008986319,0.00003855298,0.0003660812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001078277,0.00143767,0.4889355,0.0004413065,0.0009667153,0.0003681967,0.09120826,0.00002814092,0.001092698,0.2968999,0.04923242,0.06831095],"study_design_scores_gemma":[0.00225955,0.000232686,0.5703011,0.0001166897,0.0000143047,0.000008082508,0.0005643838,0.0001005905,0.000003056726,0.009787822,0.4158264,0.0007853668],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8349996,0.03018664,0.00002857423,0.002840723,0.0008528577,0.0005501491,0.0001711339,0.00005361424,0.1303167],"genre_scores_gemma":[0.9696919,0.01269799,0.0001311412,0.000516937,0.0002237699,0.0001310362,0.000009739649,0.00008869511,0.01650878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.366594,"threshold_uncertainty_score":0.9995841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0158922189249609,"score_gpt":0.2083765149861594,"score_spread":0.1924842960611985,"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."}}