{"id":"W4323363529","doi":"10.1093/iwc/iwad019","title":"Evaluating Visual Analytics for Relevant Information Retrieval in Document Collections","year":2023,"lang":"en","type":"article","venue":"Interacting with Computers","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Computer science; Information retrieval; Visual analytics; Recall; Analytics; Precision and recall; Perspective (graphical); Process (computing); Data science; World Wide Web; Visualization; Data mining; Artificial intelligence; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007895358,0.000128012,0.0001593657,0.0006860477,0.0002150592,0.0006903123,0.0003616629,0.00003451149,0.000003965561],"category_scores_gemma":[0.0008600506,0.0001182839,0.00004716847,0.002482434,0.00001651687,0.001491339,0.0001828751,0.0001335441,0.00003659079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001670622,"about_ca_system_score_gemma":0.0001284581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002435319,"about_ca_topic_score_gemma":0.00001955471,"domain_scores_codex":[0.9986128,0.0000603983,0.0004523102,0.0002415641,0.0003510037,0.0002818936],"domain_scores_gemma":[0.998044,0.001188776,0.000236903,0.0002292804,0.0002372002,0.00006388353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004985948,0.0003182898,0.002849837,0.00034893,0.0003319025,0.0000565424,0.01655645,0.7467945,0.0005595428,0.02464671,0.07892136,0.1281174],"study_design_scores_gemma":[0.0007367119,0.0003023895,0.0002687764,0.0002395124,0.0000085751,0.00001130364,0.000336317,0.992893,0.0002369224,0.0002440039,0.004565632,0.0001568625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02537423,0.000001662009,0.9714864,0.0009038052,0.001389615,0.0003333919,0.000005324623,0.0003017089,0.0002038571],"genre_scores_gemma":[0.8102718,0.00001191789,0.1874615,0.001090819,0.0001473796,0.00003830311,0.0002126589,0.00002592923,0.0007396381],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7848976,"threshold_uncertainty_score":0.6656697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04359985564566519,"score_gpt":0.3863054692844198,"score_spread":0.3427056136387546,"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."}}