{"id":"W2004166955","doi":"10.1145/2030441.2030454","title":"Double meandering algorithm","year":2011,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; University of Victoria","keywords":"Animation; Computer science; Computer graphics (images); Algorithm; Process (computing); Point (geometry); Line (geometry); Presentation (obstetrics); Computer animation; Line drawings; Line segment; Computer vision; Engineering drawing; Mathematics; Geometry; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009816392,0.00005441375,0.00005180702,0.00008478575,0.00004815669,0.00006692682,0.0004505937,0.00002129308,0.00004765029],"category_scores_gemma":[5.524624e-7,0.0000472521,0.00002934951,0.0002400446,0.000009650422,0.0002687791,0.0002076264,0.00003126217,0.00001503305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004385049,"about_ca_system_score_gemma":0.000009528114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006163252,"about_ca_topic_score_gemma":0.000002907062,"domain_scores_codex":[0.9995465,0.000006788964,0.00009213723,0.0001603839,0.00008858223,0.0001055743],"domain_scores_gemma":[0.9996154,0.000004545233,0.00002097963,0.0002722572,0.00004383937,0.00004299023],"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":[2.719943e-7,0.00001818595,0.0001042904,9.114926e-7,0.000002724549,0.000001894426,0.0003540445,4.546089e-8,0.000009374817,0.9451639,0.0004063051,0.05393807],"study_design_scores_gemma":[0.000539112,0.0001552344,0.001603523,0.00001335066,0.000002796599,0.00002471622,0.0000173201,0.6947656,0.1149412,0.168098,0.01942137,0.0004178013],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001707764,0.00001500495,0.9664162,0.00001860988,0.0001353518,0.00004655204,5.871732e-8,0.0006867678,0.03251066],"genre_scores_gemma":[0.2148733,0.00001743552,0.7843739,0.0003052278,0.00002784601,0.000008761499,4.223672e-7,0.00000544054,0.0003877354],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7770659,"threshold_uncertainty_score":0.1926885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06221603977148703,"score_gpt":0.2812283390653846,"score_spread":0.2190122992938976,"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."}}