{"id":"W7133102582","doi":"","title":"Corporations and Early Modern Literature, 1580-1640","year":2020,"lang":"","type":"dissertation","venue":"TSpace","topic":"Literature: history, themes, analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto","keywords":"Corporation; Foregrounding; Politics; Early Modern English; Representation (politics); Literal and figurative language; Identity (music); Reading (process)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001350474,0.0004945491,0.0003805714,0.003978147,0.005589124,0.009011141,0.0004880667,0.001860206,0.005142077],"category_scores_gemma":[0.002248796,0.0002225322,0.0001131277,0.004218616,0.01270523,0.006269287,0.00215511,0.00213762,0.0007453429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01405782,"about_ca_system_score_gemma":0.003881647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01151422,"about_ca_topic_score_gemma":0.01492921,"domain_scores_codex":[0.998888,0.0005679548,0.00005270138,0.0001210312,0.0002383178,0.0001320666],"domain_scores_gemma":[0.9992225,0.0004086295,0.00009092714,0.00004676896,0.0001441476,0.00008703295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002219787,0.00002962691,0.0006173939,0.00016972,0.000004295701,0.0001467412,0.06357755,0.00005652613,0.0001438797,0.9061074,0.01298065,0.01614408],"study_design_scores_gemma":[0.000008789383,0.00002330158,0.002522741,0.001011282,0.000004108441,0.0001818279,0.01855281,0.00005670641,0.000125732,0.04668726,0.9308171,0.000008399142],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0637385,0.3223714,0.0006792899,0.01907859,0.001273691,0.00001779319,0.0001045463,0.00002487167,0.5927113],"genre_scores_gemma":[0.7918429,0.1026582,0.0006769348,0.00382,0.001341577,0.00006148509,0.0001158104,0.00005603558,0.09942709],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01405782,"threshold_uncertainty_score":0.1019971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02467612963269646,"score_gpt":0.2628544833897317,"score_spread":0.2381783537570352,"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."}}