{"id":"W1995866471","doi":"10.1145/1618452.1618508","title":"Structure-aware error diffusion","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Halftone; Computer science; Diffusion; Artificial intelligence; Computer vision; Orientation (vector space); Contrast (vision); Pixel; Algorithm; Visualization; Human visual system model; Modulation (music); Spatial frequency; Image quality; Image (mathematics); Mathematics; Optics; Geometry; Acoustics","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":[0.0007031293,0.0009324877,0.0008511782,0.0009044032,0.0004537509,0.001299845,0.001911493,0.001379849,0.004725363],"category_scores_gemma":[0.003982299,0.0005844293,0.0008132794,0.0006709408,0.0005904132,0.002237929,0.001804522,0.001191745,0.001658284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006161351,"about_ca_system_score_gemma":0.0005222153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001281209,"about_ca_topic_score_gemma":0.001303145,"domain_scores_codex":[0.999164,0.00007639653,0.00005343565,0.0001833451,0.0004744729,0.00004839701],"domain_scores_gemma":[0.998112,0.0004378408,0.0001468204,0.0006387559,0.0006025035,0.00006204454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003715901,0.0001052969,0.0008082153,0.0004476999,0.00009382066,0.0002446027,0.0004416783,0.05929638,0.3725522,0.02810693,0.004899461,0.5326322],"study_design_scores_gemma":[0.00005830235,0.0001191487,0.0006723256,0.00003068037,0.0000487205,0.0007298397,0.00003994516,0.6988974,0.2651923,0.01041268,0.02371037,0.00008819602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01384291,0.0003132049,0.9819519,0.0001330216,0.0001036002,0.00005081042,0.00007645544,0.001560517,0.001967672],"genre_scores_gemma":[0.1451843,0.000358453,0.8430915,0.0001377221,0.0000675029,0.000069854,0.0002283739,0.0006466746,0.01021568],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004725363,"threshold_uncertainty_score":0.01580793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144201553595607,"score_gpt":0.2727139443064729,"score_spread":0.2582937889469122,"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."}}