{"id":"W2066568783","doi":"10.1145/2732158.2732160","title":"Visual Text Analytics for Asynchronous Online Conversations","year":2015,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Asynchronous communication; Visual analytics; Analytics; Visualization; Human–computer interaction; World Wide Web; Data science; 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":[0.0001611854,0.00007617143,0.00009894832,0.00009217116,0.00005494672,0.0001456102,0.0003837388,0.00003264905,0.00003189521],"category_scores_gemma":[0.0001429803,0.00006793866,0.00004092284,0.000335795,0.00002668406,0.0003467938,0.0001088086,0.00003143827,0.0001027696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004251195,"about_ca_system_score_gemma":0.0001880326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001859152,"about_ca_topic_score_gemma":0.00004546415,"domain_scores_codex":[0.999296,0.00001527376,0.0001744413,0.0001899849,0.0001728986,0.0001514184],"domain_scores_gemma":[0.9992131,0.00005637256,0.00005169333,0.0002611865,0.0002589653,0.0001586778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005669111,0.0005869577,0.001155125,0.00002172167,0.000062133,0.000003712266,0.0006128901,0.001751564,0.000036215,0.8412416,0.1333931,0.02112933],"study_design_scores_gemma":[0.0004573448,0.0001006776,0.00009688987,0.000002242325,0.000009949633,0.000002249528,0.0001808376,0.9253373,0.0001369454,0.001734415,0.07183414,0.0001070802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004163642,0.00001439322,0.9956169,0.001642273,0.0001861847,0.00009724366,0.00002793588,0.0001487112,0.001849961],"genre_scores_gemma":[0.6176584,0.0000214212,0.365796,0.006987783,0.0003189839,0.0000108169,0.0005897803,0.00002263392,0.008594123],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9235857,"threshold_uncertainty_score":0.2770458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0649670839174645,"score_gpt":0.353723982909995,"score_spread":0.2887568989925305,"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."}}