{"id":"W3113375790","doi":"10.5040/9781501363474","title":"Electronic Literature as Digital Humanities","year":2020,"lang":"en","type":"book","venue":"","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Graduate School, University of Maryland; University of California, Los Angeles; Universidade do Porto; Universitetet i Bergen; Social Sciences and Humanities Research Council of Canada; Brown University; University of Notre Dame; Washington State University; Washington State University Vancouver; Brigham Young University; West Virginia University","keywords":"Digital humanities; Humanities; World Wide Web; Computer science; Media studies; Library science; Art; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00005394424,0.0006798765,0.0005778123,0.0001863718,0.0004474599,0.0113322,0.0006375305,0.0002476645,0.02895514],"category_scores_gemma":[0.0000310791,0.0005815664,0.0004774113,0.00001980593,0.0004348201,0.001864789,0.0001985813,0.001313212,0.006435863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002211215,"about_ca_system_score_gemma":0.0004743775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008884344,"about_ca_topic_score_gemma":0.0002950152,"domain_scores_codex":[0.9978203,0.00001350816,0.0004425666,0.0005545564,0.0005213463,0.0006477764],"domain_scores_gemma":[0.9989998,0.00008131948,0.000168685,0.0003754287,0.0002403404,0.0001343953],"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":[0.00001443383,0.00001540084,1.291721e-7,0.0000833587,0.00009352458,0.00005696503,0.007719528,2.599411e-8,3.829238e-8,0.6382782,0.3528618,0.0008765539],"study_design_scores_gemma":[0.0001118987,0.0003107491,1.006088e-7,0.0001782828,0.00003707773,0.00001380776,0.001059035,5.03726e-7,6.983191e-7,0.2855859,0.7121727,0.0005292465],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000038396,0.003086268,6.17609e-7,0.0002547867,0.0006296539,0.0002891865,0.0007167449,0.0005323066,0.9944521],"genre_scores_gemma":[0.007710309,0.0001290604,0.000001120107,0.00387463,0.005027629,0.00002064716,0.002472919,0.0001644327,0.9805992],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3593109,"threshold_uncertainty_score":0.9996636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02637263900902479,"score_gpt":0.1964958948516199,"score_spread":0.1701232558425951,"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."}}