{"id":"W2250190567","doi":"","title":"An investigation of issues and techniques in highly interactive computational visualization","year":2007,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Visualization; Computer science; Interactive visualization; Rendering (computer graphics); Information visualization; Set (abstract data type); Human–computer interaction; Creative visualization; Data visualization; Data science; Data mining; Computer graphics (images); Programming language","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":[0.0003543882,0.00005011025,0.00007167829,0.0002470637,0.0000184137,0.00005213348,0.0001339076,0.00002817406,0.000004843233],"category_scores_gemma":[0.00002096857,0.0000481569,0.000006012496,0.0003834397,0.00003868405,0.0008969408,0.00004251659,0.00002633775,0.000001031104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001524947,"about_ca_system_score_gemma":0.00001909686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007654652,"about_ca_topic_score_gemma":0.00004020839,"domain_scores_codex":[0.9994087,0.00003816633,0.0002176329,0.0001407118,0.0001325105,0.00006232619],"domain_scores_gemma":[0.9996168,0.00005196913,0.00007841244,0.00009719346,0.0001183797,0.00003727146],"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":[0.000005908751,0.00008044412,0.04541327,0.00001668448,0.000004618243,0.000001761751,0.002516198,0.0003414835,0.005762627,0.935002,0.0001931977,0.01066184],"study_design_scores_gemma":[0.0002036098,0.0001501111,0.06688623,0.00004549075,0.00000223721,0.000003240135,0.0002776118,0.8309851,0.07351424,0.02758494,0.0002037655,0.0001434773],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08331401,0.000007986418,0.9161651,0.0001324964,0.00001805499,0.00006070871,0.000001246423,0.00007163025,0.0002288084],"genre_scores_gemma":[0.9075347,0.000008692462,0.09207124,0.0002998429,0.00001041288,7.8623e-7,0.00004545478,0.000002729062,0.00002616389],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.907417,"threshold_uncertainty_score":0.1963781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01931660041175522,"score_gpt":0.3598329299493882,"score_spread":0.340516329537633,"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."}}