{"id":"W2291242049","doi":"10.1145/2856767.2856782","title":"MultiConVis","year":2016,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Set (abstract data type); World Wide Web; Conversation; Thread (computing); Information retrieval; Visual analytics; Interface (matter); User interface; Data science; Visualization; Human–computer interaction; Artificial intelligence","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":[0.001430069,0.001399918,0.0007660997,0.001607592,0.000704366,0.00302162,0.002128705,0.001158375,0.06067644],"category_scores_gemma":[0.005312911,0.0005970491,0.0008775824,0.001108774,0.0004365389,0.003600733,0.004020748,0.001280979,0.0164487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007409232,"about_ca_system_score_gemma":0.0009650054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002162351,"about_ca_topic_score_gemma":0.004043167,"domain_scores_codex":[0.9990855,0.0001705467,0.00006191529,0.00027945,0.0003115906,0.00009094684],"domain_scores_gemma":[0.9980397,0.0009209996,0.00009442896,0.0004321965,0.0003200709,0.0001925983],"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":[0.00332031,0.0004099193,0.004525385,0.001773649,0.0002595479,0.0008118841,0.005117443,0.002343236,0.02725898,0.02707471,0.5262653,0.4008397],"study_design_scores_gemma":[0.0003685425,0.0002971427,0.004108451,0.0004221039,0.00009371758,0.0007857481,0.00107605,0.05883239,0.02817622,0.04385636,0.8617975,0.000185762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.02345768,0.001355272,0.2909944,0.0009744143,0.0007138852,0.001115471,0.0397971,0.5440686,0.09752315],"genre_scores_gemma":[0.2216096,0.001671261,0.4015372,0.002048934,0.0004233546,0.003410591,0.08645898,0.1245144,0.1583257],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.06067644,"threshold_uncertainty_score":0.2029829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02355354854474937,"score_gpt":0.292693289499394,"score_spread":0.2691397409546446,"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."}}