{"id":"W2157821464","doi":"10.1145/2678025.2701370","title":"ConVisIT","year":2015,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Conversation; Asynchronous communication; Human–computer interaction; Visualization; User interface; Interface (matter); Social media; World Wide Web; Multimedia; 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":[0.002705951,0.000986926,0.0006712091,0.002016621,0.00223265,0.006180099,0.002316626,0.002230652,0.2291929],"category_scores_gemma":[0.008888351,0.0004961059,0.0008630357,0.001610091,0.001029167,0.004475258,0.004580603,0.002501091,0.1280163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688573,"about_ca_system_score_gemma":0.00240417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005041806,"about_ca_topic_score_gemma":0.006849941,"domain_scores_codex":[0.9978191,0.0003703311,0.0001133221,0.0005319201,0.000958767,0.0002065796],"domain_scores_gemma":[0.9958339,0.000791469,0.0001488487,0.0009970448,0.001538127,0.0006905472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000355069,0.00008594614,0.00121194,0.0003369262,0.00002390898,0.0003595414,0.0006962922,0.000447401,0.002090508,0.02424468,0.6735782,0.2965697],"study_design_scores_gemma":[0.00002733407,0.0000327974,0.0004243776,0.00007938543,0.00001032511,0.0002329264,0.0001810726,0.001184166,0.001003575,0.005948514,0.9908572,0.00001828669],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.009472678,0.005968392,0.07657669,0.02186964,0.01135942,0.0005489984,0.009476261,0.03008282,0.8346451],"genre_scores_gemma":[0.05754085,0.003995778,0.05045823,0.006129927,0.002653465,0.0005076155,0.02255942,0.008923973,0.8472307],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.2291929,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0638934823926233,"score_gpt":0.324327837306414,"score_spread":0.2604343549137906,"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."}}