{"id":"W6906244360","doi":"10.17613/g68br-51f33","title":"Beyond the Textual: Visual Information Systems that Help and Hinder","year":2022,"lang":"en","type":"article","venue":"Knowledge Commons (Lakehead University)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Seekers; Focus (optics); Information system; Set (abstract data type); Information seeking; Information visualization; Information needs; The arts","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":[0.0002759914,0.0001178562,0.0001260016,0.0003547627,0.0009885,0.0002994119,0.0009699471,0.00003389451,0.00002231795],"category_scores_gemma":[0.00001453539,0.0001072242,0.00004215925,0.001051995,0.00008529495,0.001173183,0.001400958,0.0001988824,0.00005047736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001171678,"about_ca_system_score_gemma":0.0001078511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000253421,"about_ca_topic_score_gemma":0.0009518663,"domain_scores_codex":[0.999014,0.0002499419,0.0001318901,0.0001758699,0.0002379688,0.0001903135],"domain_scores_gemma":[0.9991997,0.0001210215,0.00009850071,0.0003926619,0.0000943182,0.00009380767],"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":[0.000006003549,0.00009042989,0.005909142,0.00001986775,0.00002707594,0.000009257594,0.002260119,0.0001945782,0.000003884415,0.9593137,0.02714752,0.005018407],"study_design_scores_gemma":[0.0004272276,0.00006467896,0.002129937,0.000007292993,0.00001845128,0.0000257564,0.003178097,0.05023846,0.00001165753,0.0001331833,0.9435927,0.0001724995],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05073319,0.001369825,0.5348871,0.004271241,0.002234875,0.0009775957,0.0002273299,0.0008446396,0.4044542],"genre_scores_gemma":[0.9954752,0.00000257832,0.00002164768,0.00005078413,0.00002449929,0.000001822758,0.00006425547,0.000005084105,0.004354125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9591805,"threshold_uncertainty_score":0.7602842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02629553068710905,"score_gpt":0.2509297221794139,"score_spread":0.2246341914923048,"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."}}