{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003587819,0.00002021764,0.00002110951,0.00001875621,0.00001375097,0.00003205944,0.0002453909,0.00000676563,0.000184207],"category_scores_gemma":[0.000022326,0.00001034411,0.000009385382,0.00006632595,0.000008097659,0.0002269459,0.0000706607,0.000004455599,0.0007764018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003546572,"about_ca_system_score_gemma":0.000006500067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001510252,"about_ca_topic_score_gemma":9.472018e-7,"domain_scores_codex":[0.999773,0.000005743497,0.00004174104,0.00007347703,0.00005259628,0.00005341069],"domain_scores_gemma":[0.9997357,0.00002010139,0.000008272445,0.0001903144,0.00001629142,0.00002932249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[7.108193e-8,0.000009353719,0.0003978872,3.684123e-7,0.000001392733,7.98273e-7,0.00001558064,1.357906e-7,0.0009168593,0.8996176,0.0108993,0.08814064],"study_design_scores_gemma":[0.0007855046,0.00003665167,0.002796837,0.00001648999,0.000002217888,0.00000578818,0.00001205867,0.1240398,0.02715959,0.01085238,0.834025,0.0002677717],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001796379,0.000001701119,0.9860837,0.002234326,0.00005019656,0.000008664053,5.568832e-7,0.00009806063,0.01134312],"genre_scores_gemma":[0.9122808,0.00001575827,0.05489945,0.002722105,0.00002871037,9.967721e-7,6.583763e-7,0.000002873522,0.03004867],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9311843,"threshold_uncertainty_score":0.9979333,"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."}}