{"id":"W2292818183","doi":"10.1145/2854158","title":"Interactive Topic Modeling for Exploring Asynchronous Online Conversations","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Interactive Intelligent Systems","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Computer science; Asynchronous communication; Human–computer interaction; Conversation; Interface (matter); User interface; Visualization; Interactive visualization; User modeling; Data science; Multimedia; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001813599,0.0002668281,0.0002936386,0.000412884,0.0002368364,0.0002103895,0.0009630256,0.00007225589,0.0001029648],"category_scores_gemma":[0.0002237553,0.0002073027,0.0002110039,0.0002896156,0.00003733781,0.001813883,0.0000347409,0.0001797115,0.0001840253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004769214,"about_ca_system_score_gemma":0.00008194724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001060383,"about_ca_topic_score_gemma":0.00004017813,"domain_scores_codex":[0.9980954,0.000109738,0.0005965888,0.0005941763,0.000275095,0.0003290184],"domain_scores_gemma":[0.997304,0.000993878,0.0001915293,0.0008972929,0.000472812,0.000140455],"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":[0.0006158286,0.004250443,0.0002176188,0.0004186089,0.002434227,0.00003156449,0.01798876,0.1850231,0.006944,0.089743,0.001116385,0.6912164],"study_design_scores_gemma":[0.0008267697,0.000471387,0.00001312445,0.0007699007,0.00006170185,0.00002761411,0.004109391,0.9550095,0.01941274,0.001792595,0.01695612,0.0005491612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003580226,0.00003070422,0.9910313,0.001235459,0.002967294,0.0005590368,0.0002146371,0.0002333453,0.0001480348],"genre_scores_gemma":[0.9911915,0.0001775927,0.006829394,0.0001964169,0.0001586902,0.0003591708,0.00002798767,0.000030377,0.001028888],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9876112,"threshold_uncertainty_score":0.8453559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1152037505999621,"score_gpt":0.3402242574535698,"score_spread":0.2250205068536077,"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."}}