{"id":"W1843400138","doi":"10.1007/978-3-540-72586-2_35","title":"On the Virtues of Generic Programming for Symbolic Computation","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Polynomial and algebraic computation","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Univariate; Polynomial; Axiom; Code (set theory); Computation; Factorization; Computer science; Symbolic computation; Mathematics; Discrete mathematics; Algorithm; Programming language","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":[0.001141512,0.0003663532,0.0004000881,0.0006422173,0.0002560384,0.0002584302,0.001893888,0.0001740823,0.000002700996],"category_scores_gemma":[0.0001179853,0.0002683669,0.000166006,0.0006195104,0.0004772953,0.0002306097,0.0004498066,0.000354668,0.000008307778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000157062,"about_ca_system_score_gemma":0.0003022655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001375005,"about_ca_topic_score_gemma":0.00002397501,"domain_scores_codex":[0.9973341,0.00002938018,0.000546449,0.0008817227,0.0007320056,0.0004763948],"domain_scores_gemma":[0.9969358,0.001686359,0.0004164605,0.0006147913,0.0002601173,0.00008640924],"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":[0.000007463144,0.00002298405,0.00000256588,0.00002892225,0.000008207154,0.000003516982,0.000389832,0.03893371,0.0000874885,0.117557,0.00001357734,0.8429447],"study_design_scores_gemma":[0.000191746,0.0003339263,0.00006902141,0.000238924,0.000006749232,0.00001161921,2.054112e-7,0.6164479,0.002080764,0.3797374,0.0005673319,0.0003143973],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007898387,0.0001901512,0.9957122,0.0006655801,0.001154126,0.0007752614,0.000003450812,0.00009718056,0.0006122474],"genre_scores_gemma":[0.4639308,0.0000114049,0.533653,0.001695869,0.000538012,0.0000279554,0.000009202432,0.00003564779,0.00009816753],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8426303,"threshold_uncertainty_score":0.9999769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03027680082053146,"score_gpt":0.2689727383972306,"score_spread":0.2386959375766991,"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."}}