{"id":"W2140064720","doi":"10.1109/achi.2008.29","title":"From Visualization to Visual Mining: Application to Environmental Data","year":2008,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Visualization; Computer science; Data science; Visual analytics; Data visualization; Information visualization; Human–computer interaction; Raw data; Software visualization; Software; Creative visualization; Data mining; Software system; Component-based software engineering","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":[0.001128064,0.000642571,0.0006172648,0.001889211,0.0006323222,0.002243465,0.0007473347,0.001123894,0.0033474],"category_scores_gemma":[0.005769982,0.0003407797,0.0005779022,0.003668727,0.0007870469,0.001168425,0.001925082,0.00115387,0.0005288598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003018754,"about_ca_system_score_gemma":0.0003898093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001945982,"about_ca_topic_score_gemma":0.00155899,"domain_scores_codex":[0.9993501,0.000342708,0.00003699655,0.00006504494,0.0001773813,0.00002761898],"domain_scores_gemma":[0.9970117,0.002454969,0.00007830918,0.0001615306,0.000205894,0.00008767704],"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":[0.0002664013,0.0003537966,0.004067827,0.001638156,0.0001230039,0.002123634,0.004531402,0.0398555,0.01869887,0.03011836,0.01630211,0.8819209],"study_design_scores_gemma":[0.0002854621,0.0006480163,0.01025645,0.001117262,0.0001505456,0.006483893,0.005112163,0.4915603,0.03982491,0.2252229,0.2190763,0.0002618041],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07512059,0.007960232,0.882381,0.006173431,0.0004618763,0.000504184,0.0006948811,0.008782,0.01792189],"genre_scores_gemma":[0.2974286,0.009694698,0.6870862,0.0006156566,0.00029708,0.0003705991,0.00042257,0.0005686794,0.003516056],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0033474,"threshold_uncertainty_score":0.01119816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04061368232625833,"score_gpt":0.3272017456036598,"score_spread":0.2865880632774014,"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."}}