{"id":"W2165084598","doi":"10.1109/crv.2007.8","title":"A Simple Operator for Very Precise Estimation of Ellipses","year":2007,"lang":"en","type":"article","venue":"","topic":"Image and Object Detection Techniques","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ellipse; Conic section; Operator (biology); Computer science; Representation (politics); Boundary (topology); Dual (grammatical number); Enhanced Data Rates for GSM Evolution; Position (finance); Algorithm; Simple (philosophy); Artificial intelligence; Mathematics; Computer vision; Geometry; Mathematical analysis","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":[0.0002886242,0.00004540473,0.00006725096,0.0000816215,0.00004051957,0.0000327899,0.0001823417,0.00002808198,0.00001124002],"category_scores_gemma":[0.0000502122,0.00003875013,0.00003664722,0.0001342846,0.00001130273,0.0003458043,0.00003513775,0.00002076393,0.000006586842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001423235,"about_ca_system_score_gemma":0.00002211416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000286324,"about_ca_topic_score_gemma":0.000008403591,"domain_scores_codex":[0.9995544,0.000006138216,0.0001472464,0.0001101174,0.000080121,0.0001019782],"domain_scores_gemma":[0.9995738,0.000088512,0.00003649919,0.0001867827,0.00009091794,0.00002343434],"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":[0.00002567335,0.00007080362,0.00003821943,0.00003775573,0.000007918975,0.000001437463,0.0002747225,0.0001149264,0.02151779,0.009564915,0.00659946,0.9617464],"study_design_scores_gemma":[0.00009039506,0.0001195391,0.0001385007,0.000003414704,0.000001494779,0.000001894817,0.00001096736,0.02747101,0.9654457,0.004113857,0.002552778,0.00005046621],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0138614,0.00002020872,0.9843821,0.00002259109,0.00006647249,0.0001831552,8.901005e-7,0.0001938072,0.001269375],"genre_scores_gemma":[0.7015167,0.000002206318,0.2980305,0.00008763529,0.00001934121,0.00001175595,6.626136e-7,0.000002850826,0.0003283865],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9616959,"threshold_uncertainty_score":0.1580184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131033772120637,"score_gpt":0.2837419347896631,"score_spread":0.2724315970684568,"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."}}