{"id":"W2915991097","doi":"10.1145/3313880.3313893","title":"Accelerating indefinite hypergeometric summation algorithms","year":2019,"lang":"en","type":"article","venue":"ACM communications in computer algebra","topic":"Algebraic Geometry and Number Theory","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Hypergeometric distribution; Mathematics; Hypergeometric function; Term (time); Rational function; Function (biology); Operator (biology); Basic hypergeometric series; Pure mathematics; Combinatorics; Discrete mathematics; Physics; Quantum mechanics","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":[],"consensus_categories":[],"category_scores_codex":[0.001695032,0.000656948,0.00111251,0.001231584,0.0007103531,0.00178771,0.0025725,0.0009443329,0.008673796],"category_scores_gemma":[0.006060494,0.0003650716,0.0006855495,0.001588588,0.0009235026,0.00329366,0.002461901,0.001392919,0.002688505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001107694,"about_ca_system_score_gemma":0.001356458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00134048,"about_ca_topic_score_gemma":0.003219819,"domain_scores_codex":[0.9991678,0.0002053415,0.00005433085,0.0001079293,0.0003439472,0.0001206431],"domain_scores_gemma":[0.9982125,0.0008433762,0.0001323802,0.0003598985,0.0003404418,0.0001115168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005032212,0.0002914656,0.002180486,0.0003657048,0.000112237,0.0002960894,0.0004011758,0.1633584,0.009900383,0.3034056,0.01251583,0.5066695],"study_design_scores_gemma":[0.00005691585,0.00005226206,0.000179905,0.00002074917,0.00001856469,0.00009307989,0.00003534559,0.8798076,0.003183019,0.1110945,0.005445439,0.00001258992],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03462575,0.0005695671,0.9519187,0.0003774432,0.0001471555,0.00009055591,0.0001660691,0.001687548,0.0104173],"genre_scores_gemma":[0.2387962,0.0003852142,0.7484146,0.0002414175,0.0001957482,0.0001841867,0.0005137959,0.0004507052,0.01081805],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008673796,"threshold_uncertainty_score":0.02901673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09651014964186747,"score_gpt":0.3328344550084913,"score_spread":0.2363243053666238,"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."}}