{"id":"W4402147775","doi":"","title":"PartiallySeparableNLPModels.jl: A Julia framework for partitioned quasi-Newton optimization","year":2023,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Computer science; Newton's method; Mathematical optimization; Parallel computing; Mathematics; Physics; Nonlinear system","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":[0.001198189,0.000970428,0.0009336891,0.0005204066,0.0004803812,0.001183044,0.002333195,0.001201096,0.01135217],"category_scores_gemma":[0.002889839,0.0008455745,0.0009980691,0.0005519988,0.0008575444,0.001075612,0.002344565,0.002498749,0.003805022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000782784,"about_ca_system_score_gemma":0.001913463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005298547,"about_ca_topic_score_gemma":0.01215226,"domain_scores_codex":[0.9995091,0.0002033945,0.00001786833,0.00005031265,0.0001746226,0.00004461269],"domain_scores_gemma":[0.9992803,0.0003307377,0.0000603373,0.0001200402,0.0001329791,0.00007558746],"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":[0.00009934886,0.00009151635,0.0002932962,0.000320434,0.00006068645,0.00008793163,0.000150613,0.6119482,0.00306918,0.2990344,0.01259061,0.07225378],"study_design_scores_gemma":[0.00001805943,0.00001207242,0.00002475765,0.00001817973,0.000004811272,0.00001063467,0.000008921837,0.9558332,0.0003877786,0.03633082,0.007344852,0.000005841845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.001107782,0.0001067997,0.9948871,0.0001003617,0.00003821588,0.00002505515,0.0001247173,0.0004284703,0.003181498],"genre_scores_gemma":[0.08705224,0.000327509,0.8973601,0.0001871979,0.00009416285,0.0003803939,0.0006741258,0.001672763,0.01225149],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01135217,"threshold_uncertainty_score":0.0379768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02746676058730456,"score_gpt":0.2831541010722624,"score_spread":0.2556873404849578,"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."}}