{"id":"W2752511750","doi":"10.1145/3102071.3102089","title":"Vixen","year":2017,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; USable; Visualization; Data visualization; Human–computer interaction; Process (computing); Focus (optics); Domain (mathematical analysis); Representation (politics); Data science; External Data Representation; Multimedia; Data mining; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008262848,0.0007733304,0.0005076167,0.001524152,0.001250315,0.004100689,0.001221488,0.001202775,0.6077712],"category_scores_gemma":[0.003500796,0.0004072209,0.0004221013,0.001135644,0.0004509077,0.002622336,0.00300815,0.001516375,0.3132311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008328945,"about_ca_system_score_gemma":0.001033102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00160736,"about_ca_topic_score_gemma":0.002317522,"domain_scores_codex":[0.9992214,0.0001357799,0.0000488157,0.0001641448,0.0003589953,0.00007076815],"domain_scores_gemma":[0.998989,0.0002282568,0.0000502952,0.0002184483,0.0003172026,0.0001966932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002793529,0.0001036346,0.001030054,0.0005600405,0.00001483039,0.0003107424,0.0005304528,0.0005127608,0.002864999,0.03761392,0.523257,0.4329222],"study_design_scores_gemma":[0.00001153986,0.00002152444,0.0003274712,0.0001130953,0.000002667923,0.0001259412,0.00006651661,0.0002626013,0.0004845467,0.002405745,0.996172,0.000006301177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.003185409,0.002474426,0.01777001,0.002492703,0.003745069,0.0002964528,0.005306653,0.006093006,0.9586363],"genre_scores_gemma":[0.01659147,0.001924937,0.01069073,0.0007649936,0.0004195162,0.0002449061,0.005866184,0.00209935,0.961398],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.6077712,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04377433604875836,"score_gpt":0.3480795268858432,"score_spread":0.3043051908370848,"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."}}