{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001733939,0.0001012931,0.000155259,0.0001109669,0.0001081573,0.0001587427,0.001164943,0.00004378037,0.002055333],"category_scores_gemma":[0.0004821529,0.00005634621,0.0001041887,0.0003961581,0.0001016935,0.001831145,0.0003574263,0.00009399561,0.000487129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001219418,"about_ca_system_score_gemma":0.00001373794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005396829,"about_ca_topic_score_gemma":5.44699e-7,"domain_scores_codex":[0.9982322,0.000008956586,0.0003918166,0.0001223173,0.000988804,0.0002558567],"domain_scores_gemma":[0.9989071,0.00007918054,0.000362697,0.0001610095,0.0004010342,0.00008890315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002210243,0.0001238773,0.5662967,0.00002415912,0.00001413295,2.801853e-8,0.003776954,4.458152e-7,0.01139299,0.2381123,0.1679321,0.01230423],"study_design_scores_gemma":[0.0002908582,0.00002388405,0.69003,0.00004175833,0.00004477161,0.000003993376,0.002584569,0.0001640056,0.02328589,0.008132651,0.2751492,0.0002483572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8673289,0.00007271976,0.00005938952,0.0006348453,0.0003337915,0.0001364975,0.000004282228,0.0000247857,0.1314048],"genre_scores_gemma":[0.9750488,0.000005753811,0.0002347445,0.0002220165,0.00006489779,0.0000097802,2.66577e-7,0.000004651598,0.02440913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2299796,"threshold_uncertainty_score":0.9988569,"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."}}