{"id":"W4402337571","doi":"10.23952/asvao.7.2025.1.07","title":"An interior-point algorithm for linear optimization based on a new algebraically equivalent transformation","year":2024,"lang":"en","type":"article","venue":"Applied Set-Valued Analysis and Optimization","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Interior point method; Transformation (genetics); Point (geometry); Mathematics; Algorithm; Applied mathematics; Mathematical optimization; Computer science; Geometry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008744193,0.0004155046,0.0005756115,0.001174397,0.0002938282,0.0004314527,0.0002336663,0.0002467346,0.0004828688],"category_scores_gemma":[0.0001324269,0.0003845836,0.0002710616,0.002049971,0.00007136474,0.0005815731,0.00003226666,0.0002470296,0.000007334368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001863712,"about_ca_system_score_gemma":0.0001611427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000115051,"about_ca_topic_score_gemma":0.000008402566,"domain_scores_codex":[0.9970842,0.000124214,0.0008522722,0.0008347007,0.0006696505,0.0004349846],"domain_scores_gemma":[0.998315,0.0003717021,0.0001907714,0.0004974376,0.000305054,0.0003200384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001016882,0.0001011601,0.000001046223,0.0001081208,0.0003132244,0.000001394499,0.0005782574,0.9417785,0.00005174504,0.008627649,0.0001111594,0.04822601],"study_design_scores_gemma":[0.001209036,0.0002781696,0.000001913405,0.00006324648,0.0008887171,0.000001441874,0.0002168426,0.9933318,0.0005157929,0.002946687,0.0001290822,0.0004173093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00005387814,0.0000472858,0.9969604,0.0004817759,0.00008313938,0.001378013,0.0001089276,0.0004258863,0.0004606953],"genre_scores_gemma":[0.01392275,0.0001383787,0.9825584,0.000274393,0.0001966277,0.0002430183,0.002354729,0.0001148932,0.0001967544],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05155322,"threshold_uncertainty_score":0.9998606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03239406937468434,"score_gpt":0.3482734682234519,"score_spread":0.3158793988487676,"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."}}