{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0198502,0.0008182817,0.001271945,0.01434653,0.007263672,0.03042053,0.002708109,0.003259224,0.1371492],"category_scores_gemma":[0.07654674,0.0007158172,0.001214169,0.03878684,0.002413918,0.02176453,0.008964363,0.001878593,0.04725506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004156522,"about_ca_system_score_gemma":0.01515346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004623319,"about_ca_topic_score_gemma":0.009377176,"domain_scores_codex":[0.9851445,0.007196471,0.001229979,0.001297594,0.004349893,0.0007816099],"domain_scores_gemma":[0.9077334,0.04084422,0.005120048,0.01539092,0.02261572,0.008295621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003653762,0.0004002099,0.01094759,0.003530894,0.00009832983,0.0007259801,0.009214204,0.0006577582,0.002223863,0.08329806,0.3743252,0.5142124],"study_design_scores_gemma":[0.00008895784,0.0001213252,0.00414846,0.001816315,0.00009139115,0.0005899849,0.008181582,0.002303071,0.004118592,0.04807884,0.930359,0.0001024209],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04848409,0.02945104,0.1227947,0.1097385,0.006082131,0.0009111063,0.01608535,0.02854216,0.637911],"genre_scores_gemma":[0.4555461,0.0491122,0.303226,0.01269411,0.01022078,0.001137908,0.01642694,0.008633473,0.1430025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1371492,"threshold_uncertainty_score":0.4588099,"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."}}