{"id":"W4312757248","doi":"10.23952/jano.4.2022.3.07","title":"Inertial viscosity with alternative regularization for certain optimization and fixed point problems","year":2022,"lang":"en","type":"article","venue":"Journal of Applied and Numerical Optimization","topic":"Contact Mechanics and Variational Inequalities","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Mathematical Union","keywords":"Inertial frame of reference; Regularization (linguistics); Fixed point; Mathematics; Applied mathematics; Viscosity; Mathematical optimization; Computer science; Mathematical analysis; Physics; Classical mechanics; Artificial intelligence; Thermodynamics","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":[0.000374374,0.00009462079,0.0001738141,0.0001154271,0.0002417804,0.0001179033,0.0001284132,0.00002538802,0.0000117974],"category_scores_gemma":[0.00002226722,0.00007827782,0.00002528026,0.0001976224,0.000007725118,0.0003444351,0.00009606309,0.00009920653,2.942693e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005453967,"about_ca_system_score_gemma":0.00005948069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006679724,"about_ca_topic_score_gemma":2.490595e-7,"domain_scores_codex":[0.9991294,0.00004569845,0.0002989146,0.0001637971,0.0002620821,0.0001001303],"domain_scores_gemma":[0.9991713,0.00009152373,0.0004146121,0.00007006543,0.0001901753,0.0000623649],"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":[0.0001638618,0.00005063678,0.00000836362,0.000009534829,0.00002339025,6.610815e-7,0.0007671526,0.8232955,0.000243413,0.1745825,0.00001890912,0.0008361788],"study_design_scores_gemma":[0.001054446,0.0006319562,0.00002487054,0.000008345332,0.00001699133,0.00002499311,0.0001179407,0.9906366,0.000257003,0.006952924,0.000166688,0.0001071843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009918985,0.00002999011,0.9973519,0.001185434,0.00008970614,0.0002574041,0.000005476689,0.00001437274,0.00007383444],"genre_scores_gemma":[0.6789725,0.00003135448,0.3205835,0.0002517726,0.00007078591,0.00003303892,0.00002408143,0.000009718785,0.0000232994],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6779806,"threshold_uncertainty_score":0.3192077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213784961640096,"score_gpt":0.2152853878007981,"score_spread":0.2031475381843972,"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."}}