{"id":"W4392961583","doi":"10.5860/ital.v43i1.16867","title":"Supporting Information Visualization Research in an Academic Library","year":2024,"lang":"en","type":"article","venue":"Information Technology and Libraries","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; World Wide Web; Academic library; Visualization; Information visualization; Information retrieval; Information system; Library science; Political science; Data mining","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":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0005049889,0.00008438188,0.00008783505,0.002976033,0.0001611849,0.001529525,0.0004928993,0.0002465696,0.00002394751],"category_scores_gemma":[0.0001070373,0.00008006917,0.00001033827,0.003297217,0.0001469162,0.0633513,0.0003747254,0.0003843875,0.0001119325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001200219,"about_ca_system_score_gemma":0.0001567244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001927583,"about_ca_topic_score_gemma":5.137161e-7,"domain_scores_codex":[0.9989158,0.00005225777,0.000482167,0.0001181961,0.000199906,0.0002316874],"domain_scores_gemma":[0.9995466,0.00006821532,0.00007371546,0.0002133195,0.00005054522,0.0000475491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002080294,0.000003917015,0.00252573,0.00006920119,0.00000197236,0.00000129047,0.002255395,0.00001216723,0.000004804945,0.8999,0.001865637,0.09335782],"study_design_scores_gemma":[0.0001605679,0.00007899665,0.0008922736,0.0001198329,0.000001728496,0.00001828155,0.001956563,0.429107,0.001724593,0.2339691,0.3318048,0.0001662451],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03790281,0.0007608067,0.9360895,0.0138523,0.0003794143,0.0004159317,0.00003110418,0.003503476,0.007064686],"genre_scores_gemma":[0.9918985,0.0003098394,0.005841606,0.001239247,0.00003275878,0.00003029949,0.0005215461,0.000006978689,0.0001192745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9539956,"threshold_uncertainty_score":0.999507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03258094154188437,"score_gpt":0.3676967626187952,"score_spread":0.3351158210769108,"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."}}