{"id":"W4238206443","doi":"10.23952/jnva.2.2018.3.06","title":"A Krasnoselskii-type algorithm for approximating zeros of monotone maps in Banach spaces with applications","year":2018,"lang":"en","type":"article","venue":"Journal of Nonlinear and Variational Analysis","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monotone polygon; Mathematics; Banach space; Type (biology); Algorithm; Applied mathematics; Discrete mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001384665,0.0007001818,0.0008073917,0.0007319019,0.0005617357,0.0007915598,0.0008834742,0.001311217,0.001361247],"category_scores_gemma":[0.00367975,0.0003517971,0.0005532074,0.0004997527,0.001266698,0.001262368,0.001108334,0.001351135,0.0003591157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006801696,"about_ca_system_score_gemma":0.001060041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001183887,"about_ca_topic_score_gemma":0.001009277,"domain_scores_codex":[0.9995505,0.0001696748,0.0000364094,0.00007702492,0.0001334569,0.0000328934],"domain_scores_gemma":[0.9992245,0.0004089756,0.00007530682,0.00004742345,0.000189571,0.0000542839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003060178,0.0001333927,0.001340882,0.0004387193,0.00008090852,0.0002198387,0.0004916674,0.503394,0.03480656,0.316487,0.001141204,0.1411597],"study_design_scores_gemma":[0.0000109812,0.0001299929,0.00007817111,0.0000152408,0.000006005268,0.00004914268,0.00001646548,0.9802127,0.002645005,0.01583171,0.0009921548,0.00001246783],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01132914,0.0001154322,0.9874823,0.00005048763,0.00003640985,0.000032566,0.000006831545,0.00004891077,0.0008978861],"genre_scores_gemma":[0.3903247,0.0004304675,0.6030081,0.00006894249,0.00006828246,0.0002549551,0.00006457687,0.00007557906,0.005704384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001384665,"threshold_uncertainty_score":0.007322848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159155292460649,"score_gpt":0.2657888835164737,"score_spread":0.2541973305918672,"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."}}