{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001268246,0.001597309,0.001735178,0.0007692274,0.001537115,0.002916509,0.001059555,0.002324061,0.4470479],"category_scores_gemma":[0.002236874,0.0004055189,0.001302263,0.0009821567,0.0003167992,0.00180847,0.001706064,0.002289623,0.18078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005974196,"about_ca_system_score_gemma":0.001132924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006700541,"about_ca_topic_score_gemma":0.001722866,"domain_scores_codex":[0.9993939,0.000113958,0.00002277964,0.0001385179,0.0002359494,0.0000949251],"domain_scores_gemma":[0.9986926,0.0002907019,0.00002973853,0.000337482,0.0004231011,0.0002264304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006086649,0.0002619751,0.0003030932,0.0002876344,0.00004176383,0.0001265008,0.0001052405,0.003924175,0.01302416,0.01002132,0.6614401,0.3098553],"study_design_scores_gemma":[0.0001481192,0.0004370686,0.0021177,0.00008532513,0.0000665285,0.000395396,0.00009967435,0.03197446,0.01716759,0.02066412,0.9267647,0.00007940929],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01032077,0.006190077,0.4058762,0.01304636,0.04115457,0.001467983,0.007344658,0.01271921,0.5018802],"genre_scores_gemma":[0.05299094,0.00302328,0.04159442,0.0009625006,0.006741283,0.0004833261,0.003915412,0.00266382,0.887625],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4470479,"threshold_uncertainty_score":0.788719,"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."}}