{"id":"W2995380196","doi":"10.1145/3377006.3377021","title":"New bivariate Hensel lifting algorithm for <i>n</i> factors","year":2019,"lang":"en","type":"article","venue":"ACM communications in computer algebra","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Burnaby Hospital","funders":"","keywords":"Monic polynomial; Bivariate analysis; Univariate; Mathematics; Bounded function; Degree (music); Polynomial; Algorithm; Combinatorics; Finite field; Field (mathematics); Applied mathematics; Pure mathematics; Mathematical analysis; Multivariate statistics; Physics; Statistics","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":[0.0004001479,0.0006951613,0.0006068124,0.001062776,0.0007206653,0.0009319853,0.0008533389,0.0004027303,0.009876087],"category_scores_gemma":[0.001180536,0.0003435469,0.0009382282,0.000923057,0.0005589102,0.001482836,0.002034071,0.001020422,0.003844282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004872344,"about_ca_system_score_gemma":0.00116438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001985142,"about_ca_topic_score_gemma":0.001916254,"domain_scores_codex":[0.9995021,0.00003818997,0.00004006757,0.0001143943,0.0001704784,0.0001347969],"domain_scores_gemma":[0.9995683,0.00005882471,0.00003304264,0.0001745048,0.000121718,0.00004373258],"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":[0.0004442775,0.0001703222,0.002189605,0.0002777607,0.00005582395,0.0004452782,0.0003758942,0.01135965,0.05172507,0.04719764,0.01577469,0.869984],"study_design_scores_gemma":[0.0004351298,0.0008464604,0.003624144,0.0001762897,0.0002325506,0.00241374,0.0007345509,0.4508897,0.2502684,0.1397295,0.1504002,0.0002493751],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03017923,0.0001644344,0.9577956,0.0001864539,0.000113865,0.0001204504,0.0002781879,0.005317139,0.005844743],"genre_scores_gemma":[0.2047127,0.0002539881,0.7838983,0.0001325918,0.000111062,0.0001426981,0.001222322,0.0005838097,0.008942559],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009876087,"threshold_uncertainty_score":0.03303885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03193140114877477,"score_gpt":0.2812252250296071,"score_spread":0.2492938238808323,"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."}}