{"id":"W4411267758","doi":"10.22318/icls2025.100255","title":"A Systematic Literature Review of Large Language Model Applications in the Algebra Domain","year":2025,"lang":"en","type":"article","venue":"Proceedings.","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Algebra over a field; Programming language; Domain (mathematical analysis); Mathematics; Pure mathematics","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":[0.01636961,0.001212979,0.004381552,0.01725256,0.0009313449,0.002947323,0.001856281,0.001523597,0.004648921],"category_scores_gemma":[0.08786663,0.0009866712,0.005054739,0.01669045,0.001282126,0.003651191,0.002799496,0.001345344,0.0005894509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00317306,"about_ca_system_score_gemma":0.02076023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007647828,"about_ca_topic_score_gemma":0.03196493,"domain_scores_codex":[0.986053,0.005728052,0.005177947,0.001002525,0.001784588,0.0002539243],"domain_scores_gemma":[0.9280941,0.05790661,0.006736353,0.001433686,0.005269654,0.0005595551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001138474,0.00001807843,0.001059091,0.9098964,0.003648574,0.0001627824,0.0008264731,0.000165144,0.0002764088,0.0007508019,0.002862389,0.08021998],"study_design_scores_gemma":[0.00006440345,0.0001138986,0.002428209,0.9418339,0.01855311,0.000281081,0.000696097,0.00005945874,0.0002231306,0.0006249982,0.03509595,0.00002574408],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002238888,0.9935136,0.001169285,0.0007175294,0.000142259,0.0004214139,0.0009510226,0.00002572738,0.0008201889],"genre_scores_gemma":[0.02106532,0.9733865,0.002828084,0.0007384488,0.00007240626,0.001023239,0.0006959886,0.00001755846,0.0001724927],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01725256,"threshold_uncertainty_score":0.08657181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00780541389418628,"score_gpt":0.27125327806474,"score_spread":0.2634478641705537,"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."}}