{"id":"W2017021051","doi":"10.1088/1742-6596/385/1/012008","title":"A parallel adaptive method for pseudo-arclength continuation","year":2012,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Continuation; Computer science; Parallel computing; Programming language","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":[0.0003856099,0.0001300385,0.0003032293,0.00003625133,0.00003922724,0.00002314109,0.000123817,0.00004044291,0.000009316068],"category_scores_gemma":[0.0002377776,0.0001162756,0.0001011561,0.0001019168,0.00003815116,0.0007655694,0.00001554558,0.000164699,0.000003179301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004365705,"about_ca_system_score_gemma":0.00003267822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.120069e-7,"about_ca_topic_score_gemma":1.345473e-7,"domain_scores_codex":[0.9991472,0.00005615195,0.0003594577,0.00005414737,0.0001908736,0.0001922073],"domain_scores_gemma":[0.9984382,0.0007349953,0.0002441914,0.00008032577,0.0004193767,0.00008292713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001097397,0.00008265006,0.00003446269,0.0001195798,0.0001624253,6.941663e-7,0.002400434,0.0632035,0.006724539,0.4545286,0.0002416184,0.4723918],"study_design_scores_gemma":[0.0005005385,0.0002683105,0.0002525419,0.00009696572,0.00007606386,0.0000377198,0.0008450111,0.1236875,0.04805464,0.8246188,0.001306138,0.0002558513],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001398419,0.000107545,0.9974366,0.00007090431,0.0004319506,0.0001271621,0.000008295224,0.00003441582,0.0003846789],"genre_scores_gemma":[0.2727914,0.00002469279,0.7267285,0.0000180928,0.0003881524,0.00001047609,0.000001018901,0.00001852203,0.00001917989],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4721359,"threshold_uncertainty_score":0.4741583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06195458303796524,"score_gpt":0.3400354491888449,"score_spread":0.2780808661508797,"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."}}