{"id":"W2163865101","doi":"10.1109/pacrim.1995.519553","title":"Filling boundaries by insertion and traversal in a linear quadtree domain","year":2002,"lang":"en","type":"article","venue":"","topic":"Digital Image Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Quadtree; Pixel; Tree traversal; Boundary (topology); Computer science; Algorithm; Code (set theory); Domain (mathematical analysis); Blocking (statistics); Computer vision; Mathematics; Set (abstract data type); Artificial intelligence; Mathematical analysis","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":[0.000432623,0.0003763518,0.0006741668,0.0005374136,0.000519839,0.001026534,0.001174655,0.0006935066,0.002786159],"category_scores_gemma":[0.001462396,0.0004753003,0.0004388888,0.0007425836,0.0006975224,0.001861058,0.001543158,0.0006809313,0.001840538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003557744,"about_ca_system_score_gemma":0.0007947766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001628899,"about_ca_topic_score_gemma":0.002026085,"domain_scores_codex":[0.9996523,0.00005064526,0.00002674104,0.00007033056,0.0001337362,0.0000663551],"domain_scores_gemma":[0.9992506,0.0003243539,0.00009286224,0.0001531153,0.0001399003,0.0000391274],"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":[0.0003682871,0.00009773204,0.00130602,0.0003370309,0.00001783146,0.0002765651,0.0007874574,0.03973515,0.1423074,0.04041221,0.004414587,0.7699398],"study_design_scores_gemma":[0.0001057601,0.0003731489,0.0008697577,0.0001104283,0.0000349644,0.001317163,0.0004787954,0.7293778,0.1668855,0.05284882,0.04751679,0.0000810029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01361421,0.00007412759,0.9840826,0.00004249813,0.000008673021,0.00004051041,0.00003268179,0.001223988,0.0008807098],"genre_scores_gemma":[0.05360777,0.00006903724,0.9449629,0.00002847251,0.000004000703,0.00005287442,0.000130517,0.0001891221,0.0009551558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002786159,"threshold_uncertainty_score":0.009320617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489546545656593,"score_gpt":0.2301479375890455,"score_spread":0.2152524721324796,"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."}}