{"id":"W1672652176","doi":"10.48550/arxiv.0808.2316","title":"A new secant method for unconstrained optimization","year":2008,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Secant method; Computer science; Mathematics; Mathematical optimization; Applied mathematics; Newton's method; Physics; Nonlinear system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001452322,0.001307897,0.0009118176,0.0009652532,0.0004685705,0.001365404,0.001218167,0.001315279,0.008336661],"category_scores_gemma":[0.002879742,0.0006802019,0.0009358606,0.0008655013,0.001144212,0.001664985,0.001831459,0.001792269,0.004390162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004375225,"about_ca_system_score_gemma":0.0008547776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007308062,"about_ca_topic_score_gemma":0.0009546002,"domain_scores_codex":[0.9992313,0.0002978164,0.00004422557,0.0001091464,0.0002828115,0.00003471302],"domain_scores_gemma":[0.9991124,0.0003049587,0.00007807496,0.0001786096,0.000257564,0.00006823211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000187271,0.00008651368,0.0006333549,0.0005245751,0.000135606,0.0003270701,0.0002072339,0.2484968,0.03010111,0.4988683,0.01986305,0.2005691],"study_design_scores_gemma":[0.0000249848,0.00008194023,0.0001159984,0.00004682337,0.00001864826,0.0001908042,0.00001199683,0.9129029,0.0060532,0.04470501,0.03581374,0.00003387163],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001251364,0.0002045404,0.9943856,0.00009746363,0.0001385811,0.0000267604,0.00007259686,0.0002327206,0.00359045],"genre_scores_gemma":[0.03018351,0.0004990625,0.957727,0.000233409,0.0001160214,0.0002063171,0.0002842133,0.0007298018,0.01002069],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008336661,"threshold_uncertainty_score":0.02788889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1553815099555758,"score_gpt":0.4243592182204488,"score_spread":0.268977708264873,"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."}}