{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004250692,0.002204639,0.001023641,0.003785693,0.001124906,0.003352011,0.002089394,0.001589501,0.008584658],"category_scores_gemma":[0.0173294,0.0009699456,0.001935466,0.002773168,0.0006217977,0.004531528,0.00367775,0.001638468,0.002105754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007557555,"about_ca_system_score_gemma":0.001051488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002625987,"about_ca_topic_score_gemma":0.004061112,"domain_scores_codex":[0.9971621,0.001508449,0.0001903099,0.0005457963,0.0004780378,0.0001154265],"domain_scores_gemma":[0.9865749,0.01116319,0.0005300227,0.0007302182,0.0006505714,0.0003509225],"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":[0.002254674,0.0005772195,0.007961978,0.003129082,0.0006123871,0.001325037,0.03123308,0.07465,0.07182864,0.02460695,0.01971351,0.7621075],"study_design_scores_gemma":[0.0002678373,0.0002864755,0.003132632,0.0003007342,0.0002395035,0.0006932498,0.003577491,0.8646543,0.0202454,0.05322612,0.05315947,0.0002167745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009710035,0.0004121592,0.9800805,0.0001669109,0.00004289018,0.0002351617,0.0005049561,0.007575569,0.001271888],"genre_scores_gemma":[0.1483994,0.0005669848,0.8455325,0.00009332558,0.0001022086,0.001241364,0.001433974,0.001013284,0.001616906],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008584658,"threshold_uncertainty_score":0.02871853,"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."}}