{"id":"W4403432858","doi":"10.1002/pra2.1017","title":"Exploratory Search in Digital Humanities: A Study of Visual Keyword/Result Linking","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Digital humanities; Information retrieval; Computer science; Humanities; World Wide Web; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02941949,0.0006551351,0.0009540552,0.006407229,0.001451231,0.006826557,0.002133078,0.001365047,0.004513005],"category_scores_gemma":[0.2731215,0.0006315736,0.0007091789,0.005890627,0.002696874,0.01094523,0.004894025,0.001584792,0.0006531927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00170096,"about_ca_system_score_gemma":0.001638649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003814288,"about_ca_topic_score_gemma":0.001836224,"domain_scores_codex":[0.9701458,0.02282869,0.001698745,0.001421833,0.003388618,0.0005162116],"domain_scores_gemma":[0.4299852,0.5367267,0.01442152,0.01039089,0.006903356,0.001572348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.008224884,0.009067293,0.2135794,0.00678442,0.0008683725,0.002220538,0.1558371,0.03150042,0.03133168,0.04412633,0.006387489,0.490072],"study_design_scores_gemma":[0.002236522,0.01256839,0.2430806,0.004249227,0.001836321,0.005803454,0.108503,0.4245615,0.05220823,0.08546077,0.05835765,0.001134387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9327306,0.000820271,0.0434769,0.0005598609,0.00004233952,0.001256138,0.0003758687,0.001472806,0.0192652],"genre_scores_gemma":[0.9579246,0.0002689442,0.03915634,0.0002098832,0.00002698962,0.0006879827,0.0002992939,0.0002984161,0.001127568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02941949,"threshold_uncertainty_score":0.155587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01574173510886453,"score_gpt":0.2924990830346724,"score_spread":0.2767573479258079,"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."}}