{"id":"W3137563585","doi":"10.1145/3258953","title":"Session details: Model order reduction and parametric analysis","year":2006,"lang":"en","type":"article","venue":"International Conference on Computer Aided Design","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Session (web analytics); Reduction (mathematics); Computer science; Parametric statistics; Order (exchange); Partial order reduction; Algorithm; Statistics; Mathematics; Model checking; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.0001023468,0.0001525528,0.0001674198,0.0003334879,0.00008658614,0.0001692923,0.0001401529,0.00004234214,0.0003443819],"category_scores_gemma":[0.000001739008,0.0001363717,0.00007986374,0.0004037079,0.00003476782,0.0001854332,0.00003850114,0.0001472289,0.00001902697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002444518,"about_ca_system_score_gemma":0.00003642924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008684876,"about_ca_topic_score_gemma":8.926107e-7,"domain_scores_codex":[0.9989762,0.00006720192,0.0002336797,0.0003461748,0.0002347226,0.0001420126],"domain_scores_gemma":[0.9994384,0.00004662294,0.000111245,0.0001376635,0.0002094894,0.00005659268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005412715,0.0001232227,0.0007635164,0.000001163445,0.000190089,0.000001048062,0.00002416903,0.8588942,0.0004990147,0.09872984,0.002299071,0.03842057],"study_design_scores_gemma":[0.0002721806,0.00003547753,0.0005642231,0.00001159472,0.00005429751,0.000002055845,0.00001115562,0.9705815,0.0006242676,0.02762947,0.00007111283,0.0001426689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0649649,0.000007113727,0.9302933,0.0003864429,0.0002887458,0.0001103984,0.00000633212,0.00004017453,0.003902643],"genre_scores_gemma":[0.9703927,0.000007378449,0.0280201,0.00005955673,0.0004267508,0.00001759521,0.00006025744,0.000008707977,0.001006949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9054278,"threshold_uncertainty_score":0.5561075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05670200271648598,"score_gpt":0.2925893331043952,"score_spread":0.2358873303879092,"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."}}