{"id":"W2093906894","doi":"10.1145/1185657.1185692","title":"Overview of NPR for computerized illustration","year":2006,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Visualization; Computer science; Scientific visualization; Data visualization; Information visualization; Data science; Foundation (evidence); Creative visualization; Human–computer interaction; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001265665,0.001607244,0.001110587,0.00273787,0.001129506,0.005489743,0.003039761,0.001620636,0.1251104],"category_scores_gemma":[0.004089091,0.001225813,0.002298458,0.002909816,0.001110898,0.00691078,0.003087018,0.002967128,0.0575424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009752519,"about_ca_system_score_gemma":0.0009376674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001122191,"about_ca_topic_score_gemma":0.00107682,"domain_scores_codex":[0.9985469,0.0003221492,0.0001352519,0.0002353303,0.0006633577,0.00009703736],"domain_scores_gemma":[0.9987205,0.0004633693,0.000057887,0.0003394236,0.00033763,0.00008118254],"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":[0.00009306552,0.00004838288,0.0001453386,0.001445461,0.00003134466,0.000372255,0.0003354436,0.005317889,0.008868797,0.2426,0.08207866,0.6586634],"study_design_scores_gemma":[0.00003526707,0.00004044508,0.0002201161,0.0003358438,0.00002428778,0.001291558,0.00007948511,0.03679845,0.005844986,0.1325446,0.8227163,0.0000687889],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.0004225351,0.003415216,0.9360408,0.0005240974,0.0003335416,0.0002098227,0.0003079914,0.008907813,0.04983809],"genre_scores_gemma":[0.01242965,0.006521449,0.9477918,0.0002482164,0.0003763483,0.0004447997,0.0009677468,0.00228097,0.02893897],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1251104,"threshold_uncertainty_score":0.4185359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05986554372956646,"score_gpt":0.3266551841347797,"score_spread":0.2667896404052132,"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."}}