{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001164086,0.00007638607,0.00007879084,0.00007473057,0.00007039586,0.0007680625,0.0002282405,0.00003655657,0.00001007479],"category_scores_gemma":[0.00003083184,0.00007043314,0.00001186871,0.0002072725,0.0001042471,0.001241771,0.00009877197,0.00006848179,0.00001076507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002006762,"about_ca_system_score_gemma":0.00001163995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006769103,"about_ca_topic_score_gemma":0.00003733246,"domain_scores_codex":[0.9993876,0.00001484303,0.0001277295,0.0002101855,0.0001128959,0.0001467065],"domain_scores_gemma":[0.9997494,0.000023659,0.00002601984,0.0001448422,0.00001970776,0.00003636946],"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":[0.00001931859,0.0005306118,0.00425784,0.0001002892,0.00001603362,0.00008615649,0.01047785,0.00000651242,0.01678797,0.07703426,0.05352416,0.837159],"study_design_scores_gemma":[0.001288529,0.000426582,0.001215085,0.0001845881,0.000004285515,0.00007715538,0.0002089323,0.6774091,0.05981978,0.1711769,0.08718184,0.001007169],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05562886,0.0003217004,0.9322491,0.001286992,0.00004354233,0.0000707165,0.000001042202,0.0004407524,0.009957254],"genre_scores_gemma":[0.7193052,0.00001558732,0.2796972,0.0003084372,0.000006906138,0.000005545174,7.817824e-7,0.000004916045,0.0006554271],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8361518,"threshold_uncertainty_score":0.7406445,"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."}}