{"id":"W2182924104","doi":"10.1109/ldav.2015.7348082","title":"Skydive: An interactive data visualization engine","year":2015,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Visualization; Interactivity; Visual analytics; Data visualization; Interactive visual analysis; Information visualization; Analytics; Clutter; Data science; Information retrieval; Data mining; World Wide Web","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":[0.002278479,0.001518314,0.001245637,0.003044714,0.0006484552,0.002708115,0.002704905,0.001146424,0.03285798],"category_scores_gemma":[0.005038389,0.001090627,0.001421795,0.002315676,0.0005470985,0.003995985,0.004719953,0.002039214,0.01326249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000514987,"about_ca_system_score_gemma":0.001411006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004209119,"about_ca_topic_score_gemma":0.008091855,"domain_scores_codex":[0.998922,0.0001798929,0.0000996832,0.0001524096,0.0005435461,0.0001024493],"domain_scores_gemma":[0.998341,0.0006782443,0.00007678247,0.0002884206,0.0004468632,0.000168664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000884095,0.0001360246,0.002640784,0.001699304,0.0004920148,0.0005800525,0.0009290257,0.006319906,0.01537403,0.0140321,0.7886026,0.1683101],"study_design_scores_gemma":[0.0006057948,0.0001173084,0.003415513,0.0004065836,0.0001594887,0.0007256563,0.00019437,0.1038472,0.02592963,0.04371265,0.8205598,0.0003260607],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.00446381,0.001524,0.410601,0.0008222712,0.0003280756,0.0004977961,0.04834663,0.5158233,0.01759317],"genre_scores_gemma":[0.06566697,0.0031651,0.6573762,0.002079791,0.0003021906,0.001777879,0.155411,0.08708886,0.02713193],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03285798,"threshold_uncertainty_score":0.1099209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1204784396990315,"score_gpt":0.4082524507496901,"score_spread":0.2877740110506586,"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."}}