{"id":"W2152393770","doi":"10.1109/cdc.2004.1428635","title":"Oriented distance function and its evolution equation for initial sets with thin boundary","year":2004,"lang":"en","type":"article","venue":"2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)","topic":"Numerical methods in inverse problems","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Context (archaeology); Level set (data structures); Closure (psychology); Boundary (topology); Function (biology); Set (abstract data type); Mathematics; Evolution equation; Mathematical analysis; Nonlinear system; Signed distance function; Omega; Computer science; Algorithm; Physics; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001090331,0.0005588318,0.0007602131,0.0002395969,0.000517966,0.0002539978,0.0002449265,0.0003580674,0.00008036386],"category_scores_gemma":[0.001788736,0.000460066,0.0001231322,0.000346259,0.0002722101,0.0005716322,0.00003503881,0.0004105184,0.00008136684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003837488,"about_ca_system_score_gemma":0.0004198695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003732409,"about_ca_topic_score_gemma":0.00007499631,"domain_scores_codex":[0.9965467,0.0002378272,0.0008295532,0.0009729266,0.0007979136,0.000615076],"domain_scores_gemma":[0.9960998,0.001540197,0.0005137488,0.0005324051,0.0009719993,0.0003418016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.03096738,0.00212191,0.0005013589,0.0009799823,0.0006449784,0.00006804895,0.002242682,0.002084211,0.060661,0.7172694,0.004500242,0.1779589],"study_design_scores_gemma":[0.0180938,0.002723678,0.0004809972,0.0009733196,0.0003198546,0.00003770401,0.0002343618,0.1185423,0.001786577,0.8543569,0.00150586,0.0009445706],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1324048,0.0001554656,0.86301,0.0004743953,0.001496041,0.001655477,0.0001281687,0.0001727763,0.0005029028],"genre_scores_gemma":[0.9175985,0.000105955,0.08066979,0.0006197887,0.0002767744,0.0003423062,0.00002352333,0.00007579298,0.0002874964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7851938,"threshold_uncertainty_score":0.9997851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0792785518470891,"score_gpt":0.3436891658893846,"score_spread":0.2644106140422955,"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."}}