{"id":"W2141716420","doi":"10.1145/1166253.1166279","title":"Mnemonic rendering","year":2006,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mnemonic; Computer science; Rendering (computer graphics); Sight; Human–computer interaction; Visualization; Parallel rendering; Software; Multimedia; Artificial intelligence; Programming language; Cognitive psychology; Psychology","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":[0.0005067096,0.0007208844,0.0004623382,0.0004033225,0.0005356399,0.002205912,0.001500347,0.000673992,0.01627812],"category_scores_gemma":[0.002961131,0.0003013475,0.0004532814,0.0003183523,0.0004330934,0.001923746,0.002259647,0.001269468,0.002102931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000396085,"about_ca_system_score_gemma":0.0005256915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001128392,"about_ca_topic_score_gemma":0.001232281,"domain_scores_codex":[0.9996588,0.00005403317,0.00002160607,0.0000591647,0.0001589181,0.00004743773],"domain_scores_gemma":[0.9992182,0.0002331806,0.0000391703,0.0003022893,0.000145014,0.00006216155],"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":[0.0007647968,0.0002541288,0.002244249,0.0006892562,0.00008301865,0.0005488269,0.002126197,0.01711569,0.2009618,0.174979,0.05319861,0.5470344],"study_design_scores_gemma":[0.0001856592,0.0002584882,0.002014064,0.0001761612,0.00006663529,0.001036471,0.000442342,0.287386,0.1198461,0.06077598,0.5276905,0.0001215985],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01820593,0.0003413626,0.9284135,0.0003820654,0.0002932756,0.000180588,0.0003141659,0.02026811,0.03160102],"genre_scores_gemma":[0.4164799,0.0007225883,0.5455993,0.0004462638,0.0001602405,0.0002964057,0.0007200046,0.005452609,0.03012271],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01627812,"threshold_uncertainty_score":0.05445576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01756363786153465,"score_gpt":0.268812268089317,"score_spread":0.2512486302277824,"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."}}