{"id":"W2591955687","doi":"10.1145/3055282.3055287","title":"Efficient detection of hessian matrix sparsity pattern","year":2017,"lang":"en","type":"article","venue":"ACM communications in computer algebra","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"China Scholarship Council","keywords":"Hessian matrix; Scalar (mathematics); Matrix (chemical analysis); Algorithm; Computer science; Sparse matrix; Graph; Mathematics; Mathematical optimization; Applied mathematics; Theoretical computer science; 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":[0.0004945351,0.0001201174,0.0002290792,0.0001970144,0.0004737401,0.00007605586,0.003293914,0.00007760487,0.000022259],"category_scores_gemma":[0.0005848535,0.0001273283,0.00006201238,0.0001729318,0.0002715653,0.000116131,0.002860044,0.0003184131,0.00002256265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009655178,"about_ca_system_score_gemma":0.00003478113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009299827,"about_ca_topic_score_gemma":0.0002337451,"domain_scores_codex":[0.9987464,0.0001922237,0.0004070178,0.0002040157,0.0002476257,0.0002026981],"domain_scores_gemma":[0.9926254,0.0006504553,0.0003385396,0.006146299,0.0001858576,0.00005344811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004486348,0.002603346,0.02209708,0.0003153948,0.0001613734,0.00001403811,0.003731046,0.02386744,0.0009691761,0.02423286,0.0003772575,0.9215861],"study_design_scores_gemma":[0.0007746192,0.00004421723,0.03003093,0.0001224585,0.00001243124,0.000008109273,0.00004507109,0.9350383,0.0008511037,0.03254662,0.0003202877,0.0002058215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1153619,0.00007990435,0.8822903,0.001239209,0.000125406,0.0003667815,0.000008845421,0.00007002361,0.0004576946],"genre_scores_gemma":[0.6447936,0.00004354536,0.355056,0.00001419704,0.00002222756,0.0000196099,0.000004482799,0.00001429291,0.0000320101],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9213803,"threshold_uncertainty_score":0.6120967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09837801155960461,"score_gpt":0.4108543438131306,"score_spread":0.3124763322535259,"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."}}