{"id":"W2964950904","doi":"10.1080/10691316.2019.1638702","title":"Digital humanities, libraries, and collaborative research: New technologies for digital textual studies","year":2019,"lang":"en","type":"article","venue":"College & Undergraduate Libraries","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Digital humanities; Computer science; Digital library; World Wide Web; Library science; Art; Literature","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","sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.0002099486,0.000564344,0.0007484087,0.0005070754,0.001689896,0.01393237,0.000709725,0.000162689,0.0001679211],"category_scores_gemma":[0.0008386113,0.0004823712,0.000152953,0.0003240394,0.00370916,0.01345331,0.0009450312,0.0004835236,0.0001144905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008888385,"about_ca_system_score_gemma":0.0006361607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001179828,"about_ca_topic_score_gemma":0.0002084428,"domain_scores_codex":[0.9970111,0.00005636028,0.0006042371,0.0007756359,0.0005963232,0.0009562954],"domain_scores_gemma":[0.9962613,0.002313589,0.0001844481,0.000536266,0.0005563078,0.000148117],"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":[0.0002350665,0.00007275602,0.0002473955,0.000159797,0.0002511521,0.00001401287,0.0109652,5.868662e-7,0.000001850412,0.8497176,0.1330265,0.005308056],"study_design_scores_gemma":[0.0005993052,0.0005782833,0.000007684663,0.00008477712,0.00001371635,0.000004154346,0.148699,0.000005615454,0.00005740707,0.3656273,0.483989,0.0003337841],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06688255,0.02340981,0.00003187771,0.01979147,0.001428462,0.003497764,0.006624667,0.001956351,0.876377],"genre_scores_gemma":[0.6992146,0.0002121076,0.0001732044,0.0002111289,0.0004324153,0.0001184911,0.0002436632,0.00009159285,0.2993027],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6323321,"threshold_uncertainty_score":0.9997628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1242031287234159,"score_gpt":0.2870111546187709,"score_spread":0.162808025895355,"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."}}