{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003020314,0.001346007,0.0004474826,0.004484915,0.0009038294,0.004481591,0.001068526,0.0007528584,0.01258357],"category_scores_gemma":[0.01659518,0.0003569606,0.0006520274,0.002396846,0.0006263022,0.0037139,0.002474018,0.001115609,0.002306591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000933043,"about_ca_system_score_gemma":0.0007482482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001398269,"about_ca_topic_score_gemma":0.001629454,"domain_scores_codex":[0.9977518,0.001285475,0.0001308173,0.0002872145,0.0004739446,0.00007073789],"domain_scores_gemma":[0.9830278,0.0135094,0.0009807021,0.0008790504,0.001298781,0.0003041622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001979705,0.0004756639,0.006132395,0.002897447,0.0001402793,0.001171859,0.02847502,0.02812844,0.04506362,0.04423909,0.04700274,0.7942937],"study_design_scores_gemma":[0.0003807914,0.000624561,0.00953455,0.001245469,0.0001248425,0.0009026596,0.01535372,0.5383067,0.0340798,0.1965564,0.202613,0.0002775349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08610941,0.001857209,0.8608473,0.002334564,0.0003124981,0.0009637992,0.009511537,0.02290462,0.01515918],"genre_scores_gemma":[0.3873005,0.0009240586,0.5992573,0.0002282684,0.000204393,0.001065038,0.005325789,0.001540214,0.004154445],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01258357,"threshold_uncertainty_score":0.04209626,"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."}}