{"id":"W4411374885","doi":"10.1145/3724389.3731256","title":"Enhancing MIPS Assembly Language Education with Saturn","year":2025,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Saturn; Computer science; Rings of Saturn; Astrobiology; Astronomy; Planet; Physics","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":[0.0001209918,0.00006523623,0.00006789209,0.0001172952,0.00007308094,0.0001186158,0.000330186,0.00002915315,0.000004473529],"category_scores_gemma":[0.00001986467,0.00005101441,0.00001580555,0.0004003236,0.000008303493,0.000165956,0.00007615476,0.00006208858,0.00001010329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002545864,"about_ca_system_score_gemma":0.0002105341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005360976,"about_ca_topic_score_gemma":0.00002854122,"domain_scores_codex":[0.9995025,0.00002680837,0.0000953406,0.0001854719,0.0000829218,0.0001068985],"domain_scores_gemma":[0.9995394,0.00003587881,0.00003342305,0.0002952104,0.00007062656,0.0000255104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001092717,0.0003029463,0.0015718,0.00006979426,0.00004580213,0.000006483608,0.00226098,0.00151342,0.009942223,0.5263357,0.04625803,0.411682],"study_design_scores_gemma":[0.0007200998,0.0002401279,0.005661938,0.0006333615,0.00002393427,0.00003855898,0.000897315,0.2471529,0.7075254,0.005594806,0.03056162,0.0009499385],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006649207,0.0001500141,0.9280124,0.0007263165,0.0001166007,0.00007075494,5.098534e-8,0.0005994815,0.06367522],"genre_scores_gemma":[0.4388638,0.000006251005,0.551452,0.001213356,0.00001871522,0.000008102634,0.000001392472,0.000002571265,0.008433865],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6975832,"threshold_uncertainty_score":0.2080307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004618073348547401,"score_gpt":0.2634619113086738,"score_spread":0.2588438379601264,"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."}}