{"id":"W2782905316","doi":"10.4018/ijcicg.2017070104","title":"Priority-Based Stippling and its Stylization Applications","year":2017,"lang":"en","type":"article","venue":"International Journal of Creative Interfaces and Computer Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Stylized fact; Computer science; Flexibility (engineering); Pixel; Contrast (vision); Artificial intelligence; Computer vision; Variety (cybernetics); Process (computing); Nonlinear system; Algorithm; Theoretical computer science; Mathematics; Economics","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003729196,0.0001580777,0.0002111055,0.0003969779,0.0003032665,0.001217738,0.001278193,0.00006473363,0.000002850087],"category_scores_gemma":[0.00003009784,0.0001412712,0.00007223944,0.00009725663,0.0001228476,0.0009653597,0.0004717784,0.0001853912,4.88317e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001924235,"about_ca_system_score_gemma":0.00005838964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001234281,"about_ca_topic_score_gemma":0.000004558671,"domain_scores_codex":[0.9987908,0.00005209543,0.0004184078,0.0002481833,0.0003764517,0.0001140529],"domain_scores_gemma":[0.9975618,0.0001072574,0.0007486549,0.0002429999,0.001236779,0.0001024906],"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":[0.0000202136,0.00008167198,0.006005258,0.00001769426,0.0001169611,0.00001169681,0.000351846,0.00002911028,0.00007993314,0.9566475,0.00006118798,0.03657692],"study_design_scores_gemma":[0.001050149,0.0004826573,0.03359368,0.0003407008,0.00002921274,0.0001257802,0.0000245513,0.9128096,0.005508532,0.03793367,0.007779416,0.0003220909],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05644461,0.0004778964,0.9417524,0.0006961803,0.0003606616,0.0001328933,0.000005886811,0.00003919351,0.00009033176],"genre_scores_gemma":[0.9822075,0.0008077109,0.01644926,0.000285183,0.0002224314,0.000006967051,0.00000210841,0.000008442647,0.00001037377],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9257629,"threshold_uncertainty_score":0.9998191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02398548496034305,"score_gpt":0.3346427856189884,"score_spread":0.3106573006586454,"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."}}