{"id":"W2509268339","doi":"10.1112/s1461157016000309","title":"Computing theta functions in quasi-linear time in genus two and above","year":2016,"lang":"en","type":"article","venue":"LMS Journal of Computation and Mathematics","topic":"Algebraic Geometry and Number Theory","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Unicode; Mathematics; Genus; Arithmetic; Combinatorics; Discrete mathematics; Computer science; Artificial intelligence; Biology; Zoology","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":[0.0008647611,0.001672915,0.001123375,0.001669114,0.001090231,0.002989612,0.001979904,0.0009413478,0.01916423],"category_scores_gemma":[0.005001577,0.0004918093,0.001254158,0.001865763,0.001456863,0.005857792,0.002923222,0.001920804,0.008462771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001541864,"about_ca_system_score_gemma":0.001752854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002782798,"about_ca_topic_score_gemma":0.005216944,"domain_scores_codex":[0.9990284,0.0001257969,0.00006623703,0.000210483,0.000255187,0.000313847],"domain_scores_gemma":[0.9979656,0.0008877112,0.0001154472,0.0005921985,0.0003206878,0.0001184309],"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":[0.001306147,0.000243244,0.006441488,0.0008442466,0.0001607248,0.0005628137,0.001398325,0.0285885,0.02711189,0.2766549,0.04764026,0.6090475],"study_design_scores_gemma":[0.0004251838,0.0003113547,0.002220797,0.0001958324,0.0001551576,0.0007747884,0.0009384248,0.173966,0.04732999,0.7119606,0.06155071,0.0001711518],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07126424,0.0006768724,0.869551,0.001365063,0.0004543572,0.0001183195,0.0008667127,0.02391952,0.03178401],"genre_scores_gemma":[0.4646459,0.0004208902,0.5106918,0.0006252757,0.0001750643,0.0002203939,0.001699966,0.003351361,0.01816927],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01916423,"threshold_uncertainty_score":0.06411076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02550632695140469,"score_gpt":0.3081721082150824,"score_spread":0.2826657812636777,"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."}}