{"id":"W2403494083","doi":"","title":"Interactive Dimensionality Reduction for Visual Analytics","year":2014,"lang":"en","type":"article","venue":"Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B))","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Dimensionality reduction; Visualization; Visual analytics; Data visualization; Focus (optics); Reduction (mathematics); Metric (unit); Interactive visual analysis; Curse of dimensionality; Analytics; Variable (mathematics); Data mining; Human–computer interaction; Machine learning; Mathematics","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":[0.002221489,0.001617781,0.001045257,0.002008683,0.0006896615,0.003504144,0.001284966,0.0009651189,0.01035932],"category_scores_gemma":[0.007381052,0.0006078574,0.001281546,0.001364809,0.0009893172,0.002532161,0.004639518,0.00231404,0.002443941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005218178,"about_ca_system_score_gemma":0.0005297314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006424191,"about_ca_topic_score_gemma":0.0007629549,"domain_scores_codex":[0.9976333,0.001182649,0.0001249779,0.000272754,0.0006983307,0.00008786676],"domain_scores_gemma":[0.9959986,0.002539658,0.0001541779,0.0007781706,0.0004123687,0.0001169847],"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":[0.0004176031,0.0001540691,0.001443018,0.002071371,0.0003734366,0.0004373007,0.002090778,0.04048834,0.06473366,0.1818563,0.04199823,0.6639359],"study_design_scores_gemma":[0.0001075214,0.0001598709,0.001544459,0.0003347658,0.0001093359,0.0009851791,0.0005135844,0.5016995,0.03597697,0.2995553,0.1588408,0.000172622],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001909222,0.0005825187,0.9911573,0.0003958915,0.00006330931,0.00006461514,0.0002232172,0.003621507,0.001982479],"genre_scores_gemma":[0.04965609,0.0008037285,0.9463535,0.0001927575,0.0001265404,0.0003091035,0.0004846211,0.0009757706,0.001097885],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01035932,"threshold_uncertainty_score":0.03465539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352812769843497,"score_gpt":0.2404366688615127,"score_spread":0.2269085411630777,"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."}}