{"id":"W3198929120","doi":"","title":"A continuous Newton-type method for unconstrained optimization","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Type (biology); Computer science; Newton's method; Mathematical optimization; Mathematics; Applied mathematics; Nonlinear system; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003112012,0.0001357291,0.0002457748,0.0001132322,0.0001781458,0.00001915168,0.0001436406,0.00008900164,0.0008073475],"category_scores_gemma":[0.001867646,0.0001215705,0.00006790923,0.0003659641,0.00006936151,0.0001502532,0.00003757727,0.00009056999,0.00001557739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005182191,"about_ca_system_score_gemma":0.0001370326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006425001,"about_ca_topic_score_gemma":0.000003471118,"domain_scores_codex":[0.9988627,0.00006546428,0.0002970906,0.0002488581,0.0002374925,0.0002883302],"domain_scores_gemma":[0.998067,0.0008771556,0.00009012081,0.0002532143,0.0006082372,0.0001042887],"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":[0.0003898339,0.0005748034,0.0001440926,0.000170936,0.0002105884,0.00004039098,0.001255068,0.6901293,0.0009106236,0.2013076,0.08481272,0.02005403],"study_design_scores_gemma":[0.001460313,0.0001377283,0.000002315266,0.000008089774,0.00001501137,0.00007169662,0.0001577926,0.9746811,0.001948757,0.01642968,0.004876943,0.0002105459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00007703515,0.00001509152,0.9896081,0.0005310411,0.00009581216,0.0007893411,0.000008577673,0.0002442397,0.008630759],"genre_scores_gemma":[0.0003272291,0.00002641473,0.9678211,0.0001422222,0.00007004077,0.00005521972,0.00002941763,0.00004359229,0.03148477],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2845518,"threshold_uncertainty_score":0.8839889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1040889938411537,"score_gpt":0.417389719919634,"score_spread":0.3133007260784803,"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."}}