{"id":"W2162456078","doi":"10.1145/1124772.1124965","title":"Keepin' it real","year":2006,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":292,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Variety (cybernetics); Computer science; Visualization; Human–computer interaction; Virtual world; Data visualization; Virtual desktop; Virtual reality; Computer graphics (images); Virtual machine; Artificial intelligence; Operating system","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001184482,0.0007838174,0.0004780937,0.001084061,0.003886994,0.009307295,0.0015417,0.002160348,0.4578276],"category_scores_gemma":[0.005800854,0.0003604799,0.0005376245,0.0009683776,0.001112736,0.00761403,0.005582479,0.003213289,0.2324483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001093489,"about_ca_system_score_gemma":0.00129395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005313465,"about_ca_topic_score_gemma":0.009697284,"domain_scores_codex":[0.99897,0.0001373568,0.00003879854,0.0001909041,0.0004345402,0.000228401],"domain_scores_gemma":[0.9976026,0.0002645609,0.00009971401,0.0007010654,0.0006570399,0.0006750338],"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":[0.0000990034,0.00004450889,0.0005614187,0.00008744971,0.000009036918,0.00026252,0.001069514,0.00006384658,0.0006083966,0.02332786,0.8533391,0.1205274],"study_design_scores_gemma":[0.000003226376,0.000006182374,0.0001083821,0.00002291146,0.000002064711,0.00007768488,0.0001946066,0.00003234424,0.00009979846,0.0009046192,0.9985427,0.000005446595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004601762,0.002256034,0.01497521,0.02350415,0.01556341,0.0001337026,0.002053192,0.01166533,0.9252473],"genre_scores_gemma":[0.0156314,0.0008545711,0.004469209,0.004516381,0.0007456916,0.00005437217,0.001223614,0.002476113,0.9700286],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4578276,"threshold_uncertainty_score":0.7733431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01954258996210483,"score_gpt":0.2928941373454395,"score_spread":0.2733515473833347,"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."}}