{"id":"W1536271794","doi":"10.1007/978-3-540-75187-8_7","title":"Comprehensive Triangular Decomposition","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Polynomial and algebraic computation","field":"Computer Science","cited_by":94,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Disjoint sets; Computer science; Polynomial; Parametric statistics; Discrete mathematics; Theoretical computer science; Algorithm; Mathematics","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":[0.0006333049,0.0005495462,0.0005633087,0.001209502,0.0002896004,0.0004994062,0.002480621,0.0003389207,0.00002375658],"category_scores_gemma":[0.00003129714,0.0005338005,0.0001928893,0.0007220198,0.0004820051,0.0006516187,0.001054857,0.0007275513,0.0001320891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004143816,"about_ca_system_score_gemma":0.0004165696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003355623,"about_ca_topic_score_gemma":0.00004492777,"domain_scores_codex":[0.9961372,0.00003794341,0.0006397,0.00146921,0.0009967193,0.0007192531],"domain_scores_gemma":[0.9975553,0.0005465974,0.0003162191,0.00105266,0.0002935278,0.0002357348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001032217,0.000025472,0.000006372141,0.00002649429,0.00001136815,0.0001513703,0.0003249145,0.01313586,0.000356214,0.02704241,0.0000244337,0.9588848],"study_design_scores_gemma":[0.0008362798,0.0003210786,0.0004571144,0.0004397305,0.00001417028,0.0002301347,1.697163e-7,0.5762887,0.00397337,0.4066432,0.009561318,0.001234745],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003820026,0.0007007865,0.9917369,0.0005777614,0.002530009,0.0004094876,0.000003448892,0.0002550719,0.003404523],"genre_scores_gemma":[0.1834284,0.0000700024,0.809025,0.005113228,0.001784209,0.00001019966,0.00003064585,0.00007059926,0.0004676056],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.95765,"threshold_uncertainty_score":0.9997113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02234074093905147,"score_gpt":0.2754742945676292,"score_spread":0.2531335536285777,"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."}}