{"id":"W2059565836","doi":"10.1145/1364901.1364960","title":"Technical strategies for massive model visualization","year":2008,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Computer science; Visualization; Visibility; Data visualization; Interactive visualization; Data modeling; Cache; Key (lock); Distributed computing; Data mining; Database; Parallel computing","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":[],"consensus_categories":[],"category_scores_codex":[0.00009916833,0.00009522336,0.0001019489,0.0001382299,0.0001670166,0.0001173523,0.0004515053,0.00006365129,0.000003120595],"category_scores_gemma":[0.00001017258,0.00008566264,0.00006535294,0.000331507,0.00003811076,0.0005569815,0.0001279732,0.00003513812,0.000001877814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001478514,"about_ca_system_score_gemma":0.0001230313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003866421,"about_ca_topic_score_gemma":0.000002997902,"domain_scores_codex":[0.9992343,0.00001332459,0.0001851905,0.000264337,0.0001542711,0.000148562],"domain_scores_gemma":[0.999387,0.00003739619,0.00005405054,0.0002812241,0.0001932187,0.0000471255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001140831,0.00003409324,0.00002120798,0.000004493756,0.000001754077,7.449115e-7,0.0001185989,0.0004465305,0.0003337893,0.9926122,0.005945011,0.0004804054],"study_design_scores_gemma":[0.0001015465,0.0000698361,0.00004250237,0.000003487296,0.000001082726,0.000006858682,0.000005895872,0.8237178,0.002262685,0.1728881,0.0007929349,0.0001073414],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003390395,0.00001420146,0.9962715,0.0001519115,0.00004931293,0.000241783,0.000001362014,0.0009217953,0.002009095],"genre_scores_gemma":[0.6539577,0.00003386171,0.345261,0.0004376121,0.00002521328,0.000067509,0.000006770925,0.000008271294,0.0002020421],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8232712,"threshold_uncertainty_score":0.3493221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04690476826394057,"score_gpt":0.3321605240147733,"score_spread":0.2852557557508327,"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."}}