{"id":"W1960234035","doi":"10.1109/mwscas.1990.140929","title":"Estimation of circular arcs using an L/sub 1/ estimator in combination with the Hough transform","year":2002,"lang":"en","type":"article","venue":"","topic":"Image and Object Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Hough transform; Estimator; Parametrization (atmospheric modeling); Sorting; Image (mathematics); Image processing; Estimation theory; Computer vision; Computer science; Artificial intelligence; Identification (biology); Matching (statistics); Algorithm; Mathematics; Statistics; Optics","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":[0.0007147507,0.0006420867,0.0008062607,0.00176202,0.0004139727,0.0008884434,0.0008038369,0.0008224436,0.001852945],"category_scores_gemma":[0.004055046,0.0006351828,0.0003822077,0.001382873,0.0006091026,0.001485914,0.0007452687,0.0007874704,0.001743763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004028117,"about_ca_system_score_gemma":0.0005997072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002560861,"about_ca_topic_score_gemma":0.003399729,"domain_scores_codex":[0.999295,0.0001740038,0.00002850968,0.0001916306,0.0002596679,0.00005115584],"domain_scores_gemma":[0.9981085,0.0009483882,0.0002624141,0.0002450636,0.0003888438,0.00004685094],"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":[0.0001808459,0.00005666761,0.002355798,0.0001243193,0.00005675783,0.0001339038,0.0001601338,0.05836054,0.09409674,0.004857503,0.003051082,0.8365657],"study_design_scores_gemma":[0.00001588461,0.0000818084,0.003614923,0.00002011197,0.00004510183,0.0005220565,0.00006284635,0.8702334,0.1134706,0.003464735,0.008407527,0.00006106329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005920424,0.0001223254,0.9919012,0.00004361213,0.00001695328,0.00001415946,0.00002012083,0.001403548,0.0005575808],"genre_scores_gemma":[0.110566,0.0002546664,0.8864651,0.00004389689,0.00003839457,0.00003805569,0.0001420333,0.0002582809,0.002193467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002560861,"threshold_uncertainty_score":0.006198764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01863725551145201,"score_gpt":0.2401290929758736,"score_spread":0.2214918374644216,"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."}}