{"id":"W3006785504","doi":"10.1007/978-3-030-41258-6_28","title":"Polynomial Factorization in Maple 2019","year":2020,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Polynomial and algebraic computation","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Maple; Factorization; Polynomial; Factoring; Factorization of polynomials; Integer (computer science); Mathematics; Algebra over a field; Discrete mathematics; Computer science; Algorithm; Pure mathematics; Matrix polynomial; Botany; Biology; 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":[],"consensus_categories":[],"category_scores_codex":[0.0005236958,0.0002184838,0.0002612579,0.001036317,0.0002248226,0.0005758485,0.002743951,0.0001238476,0.000005795259],"category_scores_gemma":[0.000042951,0.0002332545,0.00004070838,0.0006471825,0.0003455014,0.006770559,0.00223572,0.0004289534,0.0001111651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002122812,"about_ca_system_score_gemma":0.0003977883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003825744,"about_ca_topic_score_gemma":0.0000226456,"domain_scores_codex":[0.9982907,0.00003207397,0.0007292582,0.0003358652,0.0003887946,0.0002233453],"domain_scores_gemma":[0.9981617,0.0001462832,0.0002934273,0.001126758,0.0001517185,0.0001201509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000473302,0.00001981232,0.0001144098,0.00002546494,0.000003809695,0.000001003168,0.002824628,0.0006446702,0.00001441393,0.5576233,0.001828889,0.4368948],"study_design_scores_gemma":[0.0005945168,0.0000766283,0.00564529,0.0001737607,0.000003101844,0.00001283677,0.00001156346,0.768023,0.00002193618,0.01142285,0.2135203,0.0004942468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001632762,0.0004357756,0.8239557,0.005676512,0.0009745646,0.0007279695,0.00002607663,0.0002008724,0.1678393],"genre_scores_gemma":[0.7820694,0.003839111,0.204692,0.005645828,0.0003524805,0.00006280826,0.0004513281,0.00003944409,0.002847602],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7819061,"threshold_uncertainty_score":0.9511842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02723948016313069,"score_gpt":0.261521583927305,"score_spread":0.2342821037641743,"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."}}