{"id":"W2484312464","doi":"10.1090/fim/027/04","title":"Primal-dual interior-point methods","year":2010,"lang":"en","type":"book-chapter","venue":"American Mathematical Society eBooks","topic":"Numerical methods for differential equations","field":"Mathematics","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Interior point method; Dual (grammatical number); Computer science; Mathematics; Mathematical optimization; Art; Literature","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":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001680042,0.001225088,0.002561861,0.0001154089,0.0003321414,0.0001632377,0.0008138363,0.0008796639,0.004132005],"category_scores_gemma":[0.001562944,0.001053878,0.002267933,0.00007898743,0.002903721,0.00007153813,0.0007642077,0.002869748,0.0005373101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002893297,"about_ca_system_score_gemma":0.0002086404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001472659,"about_ca_topic_score_gemma":0.000006068176,"domain_scores_codex":[0.9949607,0.0002654407,0.001743228,0.001108703,0.0009960232,0.0009259454],"domain_scores_gemma":[0.9911486,0.00470987,0.001487449,0.00175989,0.0002803962,0.0006137981],"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":[0.00001691534,0.000088266,2.683323e-7,0.0003954475,0.000681437,0.000008258613,0.001622563,2.185765e-8,0.005251472,0.8191335,0.0008680323,0.1719339],"study_design_scores_gemma":[0.0002663306,0.0002384496,8.104028e-7,0.0002912127,0.0007589427,0.000051391,0.0002309179,0.0001150368,0.00196479,0.9325498,0.06246371,0.001068613],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00007129888,0.00001597619,0.5606727,0.0002838269,0.0002557251,0.0008312626,0.00005255886,0.0004741396,0.4373425],"genre_scores_gemma":[0.00008131392,0.00001156273,0.7656641,0.0005413113,0.0003132178,0.0001323935,0.00001738428,0.0003796213,0.2328591],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2049914,"threshold_uncertainty_score":0.9998098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0653831933189802,"score_gpt":0.3870390168284218,"score_spread":0.3216558235094416,"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."}}