{"id":"W2155916788","doi":"10.1145/2132176.2132235","title":"Message visualizer","year":2012,"lang":"en","type":"article","venue":"Proceedings of the 2012 iConference","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Visualization; Teamwork; Human–computer interaction; Conversation; Java; Key (lock); Representation (politics); Data visualization; Multimedia; World Wide Web; Programming language; 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":[0.001705871,0.001819464,0.0008422409,0.002041754,0.0008085169,0.0032981,0.001940807,0.001921896,0.1676602],"category_scores_gemma":[0.006862822,0.0008126387,0.0008411466,0.001098926,0.000388375,0.003430357,0.003034989,0.002067872,0.06450779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004749482,"about_ca_system_score_gemma":0.0006940954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001041791,"about_ca_topic_score_gemma":0.0009381384,"domain_scores_codex":[0.9989562,0.0002102206,0.00009793514,0.0002139331,0.0003996214,0.0001221318],"domain_scores_gemma":[0.9972367,0.001222411,0.0001788074,0.0005995489,0.0005492643,0.0002133141],"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":[0.001379859,0.0001799856,0.00108333,0.001754866,0.00007493913,0.0006216296,0.001690095,0.001703579,0.02249384,0.0299374,0.5859466,0.3531339],"study_design_scores_gemma":[0.0001593391,0.00009445057,0.000566038,0.0001922539,0.00003501103,0.0002968774,0.0001712002,0.01221793,0.02505665,0.01191191,0.9492241,0.00007432305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.002934802,0.0005205731,0.3499568,0.001066599,0.0008205886,0.0003502819,0.01922557,0.5821393,0.04298548],"genre_scores_gemma":[0.0899605,0.001257442,0.4810321,0.001787666,0.0008343462,0.002169881,0.06578896,0.1828913,0.1742778],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1676602,"threshold_uncertainty_score":0.5608793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2984609721053944,"score_gpt":0.4391323268897397,"score_spread":0.1406713547843453,"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."}}