{"id":"W12542839","doi":"10.1186/1472-6920-3-1","title":"Decoding Goppa Codes with MAGMA.","year":2001,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Decoding methods; Mathematics; Magma; Algorithm; Geology; Geochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002925834,0.0001442043,0.0001467001,0.0001112895,0.0002113587,0.0001751942,0.0007771913,0.00004373948,0.00003330292],"category_scores_gemma":[0.00001824557,0.0001238666,0.00005798114,0.0007290971,0.00006399476,0.0004145835,0.0001491448,0.0001304068,0.00007138597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002227397,"about_ca_system_score_gemma":0.00003052194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008443135,"about_ca_topic_score_gemma":0.00000632819,"domain_scores_codex":[0.9989499,0.0000651552,0.0001325908,0.0003232646,0.0002146896,0.000314364],"domain_scores_gemma":[0.9990802,0.0001232886,0.0000582936,0.0005661284,0.00006220325,0.0001098498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001751443,0.00006164212,0.01108073,0.000003114029,0.00001793264,0.0000556666,0.0001929428,0.000005972981,0.0001353501,0.9766742,0.000495019,0.01125989],"study_design_scores_gemma":[0.0007953882,0.0002551235,0.004436936,0.00004172251,0.00001107418,0.00009377219,0.00004095395,0.001377732,0.001086287,0.9772539,0.01428894,0.0003181457],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9389507,0.0001898792,0.03259621,0.0005712005,0.001122235,0.0001282151,6.339212e-7,0.0004890968,0.02595186],"genre_scores_gemma":[0.9939057,0.00003258267,0.005625849,0.0002278209,0.000008436376,0.00001127957,9.345454e-7,0.00001064895,0.0001767698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05495501,"threshold_uncertainty_score":0.5051133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01072403483279058,"score_gpt":0.2232216005367472,"score_spread":0.2124975657039566,"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."}}