{"id":"W3140115527","doi":"","title":"5 - Propagation de l'incertitude dimensionnelle dans le problème de l'ajustement d'ellipses. Application à la reconnaissance automatique de formes elliptiques dans les images","year":2002,"lang":"fr","type":"article","venue":"Traitement du signal","topic":"Image and Object Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ellipse; Conic section; Mathematics; Parametrization (atmospheric modeling); Minification; Context (archaeology); Representation (politics); Algorithm; Mathematical optimization; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001631831,0.0004480059,0.000331291,0.0001818302,0.0006430345,0.000441944,0.0006908105,0.0002556995,0.0002062971],"category_scores_gemma":[0.00003802945,0.0004762332,0.0001834468,0.0003584097,0.0003297841,0.001306769,0.0001404978,0.0003943391,0.00005402017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108779,"about_ca_system_score_gemma":0.0002982466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001432193,"about_ca_topic_score_gemma":0.0003211173,"domain_scores_codex":[0.9964713,0.0007394275,0.0007805931,0.0007172684,0.0004360812,0.0008552701],"domain_scores_gemma":[0.9984912,0.0001521734,0.0004279381,0.0004794771,0.0002219774,0.0002272297],"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":[0.00004320398,0.001627075,0.001166571,0.0007048733,0.0001522574,0.0000845236,0.02492372,0.004747122,0.4420577,0.02570249,0.01673723,0.4820533],"study_design_scores_gemma":[0.0004001813,0.0003384264,0.002546547,0.0002478496,0.00005674237,0.0001469667,0.0002767551,0.3324826,0.6494618,0.005728885,0.007897439,0.0004157803],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02426364,0.001684292,0.9630054,0.0042806,0.000113313,0.001395231,0.00001631355,0.0008483158,0.004392954],"genre_scores_gemma":[0.8977202,0.001192443,0.09633498,0.0004175904,0.0003118546,0.0009682877,0.00001280331,0.00005642911,0.002985371],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8734566,"threshold_uncertainty_score":0.9997689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01949844468341515,"score_gpt":0.2390935804355676,"score_spread":0.2195951357521525,"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."}}