{"id":"W2172208410","doi":"10.1109/icsmc.2009.5346226","title":"A real-time ellipse detection based on edge grouping","year":2009,"lang":"en","type":"article","venue":"","topic":"Image and Object Detection Techniques","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ellipse; Hough transform; Robustness (evolution); Computer science; Artificial intelligence; Enhanced Data Rates for GSM Evolution; Edge detection; Algorithm; Computer vision; Arc (geometry); Computational complexity theory; Image (mathematics); Mathematics; Pattern recognition (psychology); Image processing; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006907577,0.0007604499,0.000981711,0.002120207,0.000491488,0.0007763733,0.001420796,0.001141537,0.003084456],"category_scores_gemma":[0.001472591,0.0005567107,0.0005078284,0.001327807,0.0005468245,0.001874403,0.000833604,0.0006046763,0.001619168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002720161,"about_ca_system_score_gemma":0.0003492033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006842884,"about_ca_topic_score_gemma":0.0007526048,"domain_scores_codex":[0.9991223,0.000126248,0.00004848115,0.0002626809,0.0003816962,0.00005854851],"domain_scores_gemma":[0.9988741,0.0003497956,0.0001300756,0.0001939754,0.0003782329,0.00007383562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003431896,0.0001249347,0.001400699,0.0002215613,0.00006623217,0.0002598672,0.000209566,0.012859,0.2305512,0.003405608,0.005295641,0.7452624],"study_design_scores_gemma":[0.0001335465,0.0003898952,0.0047189,0.00004937005,0.00007448458,0.002165245,0.0000880033,0.6573173,0.2982792,0.002994919,0.03360571,0.0001833363],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009453151,0.0002243715,0.9870818,0.0000622826,0.00006593201,0.00004333132,0.00003847585,0.002368024,0.0006625894],"genre_scores_gemma":[0.05130532,0.0001926586,0.9464815,0.00005171078,0.00004111286,0.0000535692,0.0001236959,0.0001430776,0.001607275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003084456,"threshold_uncertainty_score":0.01031852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006979983371424924,"score_gpt":0.227799204310935,"score_spread":0.2208192209395101,"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."}}