{"id":"W2168899303","doi":"10.1109/hicss.2006.107","title":"CrystalChat: Visualizing Personal Chat History","year":2006,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"University of Calgary","keywords":"Conversation; Instant messaging; Computer science; Social media; World Wide Web; Mores; Tone (literature); Visualization; Multimedia; Human–computer interaction; Psychology; Communication; Artificial intelligence; Linguistics","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":[0.0007085635,0.0006476642,0.0004465799,0.003897634,0.0007964412,0.002134338,0.0007323331,0.0006679021,0.01186749],"category_scores_gemma":[0.003937671,0.0002606689,0.0004822954,0.002788744,0.0002610631,0.001795023,0.001777722,0.0008345692,0.001403156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004469968,"about_ca_system_score_gemma":0.0008523851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008374012,"about_ca_topic_score_gemma":0.01285114,"domain_scores_codex":[0.9996563,0.00008682686,0.0000249523,0.00006561485,0.0001287188,0.00003767735],"domain_scores_gemma":[0.9978268,0.001031132,0.0002044186,0.0002351697,0.0004495136,0.0002529788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00206902,0.0004430161,0.03022473,0.002992902,0.0003982556,0.002439278,0.02990978,0.01833774,0.03918917,0.02762323,0.3214836,0.5248892],"study_design_scores_gemma":[0.0003750376,0.000303374,0.07158868,0.001023017,0.0002466091,0.002320184,0.01110526,0.346984,0.03666482,0.05838322,0.4704894,0.0005163735],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.2725112,0.003616602,0.4558053,0.002808377,0.0007904812,0.001023636,0.08777415,0.1265095,0.04916071],"genre_scores_gemma":[0.6870592,0.00154571,0.2572645,0.0002447295,0.0001820575,0.001067478,0.03167217,0.006874491,0.01408966],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01186749,"threshold_uncertainty_score":0.03970075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02384777817345053,"score_gpt":0.2624374877862888,"score_spread":0.2385897096128383,"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."}}