{"id":"W4393059302","doi":"10.48550/arxiv.2403.13290","title":"A Log-domain Interior Point Method for Convex Quadratic Games","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interior point method; Point (geometry); Quadratic equation; Regular polygon; Domain (mathematical analysis); Mathematics; Mathematical economics; Applied mathematics; Combinatorics; Mathematical optimization; Mathematical analysis; Geometry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007824814,0.0004641234,0.0007359238,0.0005144179,0.0001201331,0.0001298225,0.0007922451,0.0004080819,0.0003239004],"category_scores_gemma":[0.0006556789,0.0004997497,0.0004516068,0.0004876678,0.0001763016,0.0001234955,0.001888328,0.0009856367,0.0001103463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005289867,"about_ca_system_score_gemma":0.0003410827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002894415,"about_ca_topic_score_gemma":0.00004621304,"domain_scores_codex":[0.9974127,0.0002975974,0.0004299468,0.001193957,0.0001500484,0.0005157469],"domain_scores_gemma":[0.9971539,0.0009752942,0.0002864499,0.001020177,0.0003440785,0.0002201078],"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":[0.0003889998,0.0002539081,0.0000370238,0.00468536,0.001006878,0.000644641,0.001898664,0.1058377,0.0002319564,0.8758857,0.00728722,0.001842022],"study_design_scores_gemma":[0.0004838163,0.00005589371,0.000001283735,0.0002435838,0.0001446152,0.000007297038,0.0006715042,0.4095405,0.00015229,0.5875966,0.0007681624,0.0003344777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007374905,0.0001008552,0.9878129,0.0003718154,0.0004943242,0.001582006,0.0002088242,0.0003686879,0.001685729],"genre_scores_gemma":[0.1527559,0.00014784,0.8194478,0.0001413739,0.0002123696,0.00004487604,0.0000804276,0.0002158412,0.02695353],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3037028,"threshold_uncertainty_score":0.9997454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1407831470535801,"score_gpt":0.3129726273242837,"score_spread":0.1721894802707036,"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."}}