{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001135994,0.0005553095,0.0003798771,0.003581681,0.00385642,0.01920961,0.0007946801,0.00186509,0.04028409],"category_scores_gemma":[0.002795614,0.0003163497,0.0002526601,0.005989887,0.008634756,0.01304013,0.004387599,0.002884903,0.01524789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004436528,"about_ca_system_score_gemma":0.004882546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003709955,"about_ca_topic_score_gemma":0.007231117,"domain_scores_codex":[0.9985784,0.0005730113,0.00006747729,0.000116012,0.0005572773,0.0001078052],"domain_scores_gemma":[0.9982939,0.0008894267,0.0001041451,0.0002494696,0.0002917758,0.0001712688],"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":[0.000003867664,0.00001140457,0.00009120696,0.0001492943,0.000001777269,0.00006008743,0.002784758,0.000068893,0.00006736015,0.8615792,0.09205616,0.04312607],"study_design_scores_gemma":[9.89597e-7,0.000002474321,0.00007846803,0.0002995743,0.000001087709,0.00005558833,0.001088925,0.0000272156,0.0000378845,0.03800807,0.960398,0.000001793074],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000886574,0.03406359,0.001374239,0.006986795,0.001623435,0.00002316487,0.00007959922,0.00007420538,0.9548885],"genre_scores_gemma":[0.0521024,0.05811273,0.003689872,0.004962833,0.002750709,0.0001240036,0.0003073952,0.0002252362,0.8777248],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04028409,"threshold_uncertainty_score":0.1347637,"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."}}