{"id":"W4389705507","doi":"10.23952/jnva.7.2023.6.02","title":"A modified inverse-free dynamical system for absolute value equations","year":2023,"lang":"en","type":"article","venue":"Journal of Nonlinear and Variational Analysis","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Sichuan Province; Natural Science Foundation of Chongqing; Sichuan University; National Natural Science Foundation of China","keywords":"Absolute (philosophy); Inverse; Mathematics; Value (mathematics); Mathematical analysis; Statistics; Geometry; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.0003342676,0.00007852183,0.0002351377,0.0002983786,0.0001336155,0.00004281442,0.0001013934,0.00003347261,0.00004667583],"category_scores_gemma":[0.00002772678,0.00006409936,0.0003381497,0.0006240206,0.0000151957,0.0001088054,0.00002685265,0.0001002732,0.000004108671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002139543,"about_ca_system_score_gemma":0.00005597502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003003985,"about_ca_topic_score_gemma":0.000003810791,"domain_scores_codex":[0.9991655,0.00003773916,0.0003708953,0.0001054141,0.0002078302,0.0001125641],"domain_scores_gemma":[0.9991328,0.0002167457,0.0002461153,0.00009335129,0.0002197924,0.000091163],"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":[0.00008340344,0.000094248,0.001119201,0.00001822066,0.002610798,0.000001824681,0.0001177001,0.817529,0.0001644449,0.1749827,0.001955227,0.001323157],"study_design_scores_gemma":[0.0005764224,0.00002552015,0.001895603,0.000007840196,0.0007981362,0.00000184632,0.0001150739,0.9903361,0.00000664412,0.005887752,0.0002833767,0.00006566973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06837778,0.00001475093,0.9288034,0.001892017,0.0002301866,0.00008798143,0.0002125464,0.00001758539,0.0003637502],"genre_scores_gemma":[0.9894257,0.00000579187,0.008788599,0.00003167082,0.00102305,0.000006518577,0.0001590145,0.000007805361,0.0005518058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.921048,"threshold_uncertainty_score":0.2613896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02728931530427441,"score_gpt":0.2810683296011299,"score_spread":0.2537790142968555,"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."}}