{"id":"W2734683741","doi":"10.2140/camcos.2015.10.1","title":"Revisionist integral deferred correction with adaptive step-size control","year":2015,"lang":"en","type":"article","venue":"Communications in Applied Mathematics and Computational Science","topic":"Numerical methods for differential equations","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Air Force Research Laboratory; Natural Sciences and Engineering Research Council of Canada; Air Force Office of Scientific Research; King Abdullah University of Science and Technology; National Science Foundation","keywords":"Adaptive control; Control theory (sociology); Feature (linguistics); Integrator; Control (management); Differential (mechanical device); Stability (learning theory)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001383786,0.0005348873,0.000620493,0.0003677841,0.0003670813,0.0008817792,0.001861656,0.0007724054,0.001596572],"category_scores_gemma":[0.007279985,0.0002554914,0.0004081627,0.0003697035,0.0009948176,0.0009516412,0.001378884,0.001561567,0.0003890473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000439582,"about_ca_system_score_gemma":0.001001042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001662831,"about_ca_topic_score_gemma":0.001515275,"domain_scores_codex":[0.9993143,0.0001503547,0.00003308053,0.00007851699,0.0003656465,0.00005809851],"domain_scores_gemma":[0.9974744,0.0009098859,0.0002963468,0.0006119093,0.0005734913,0.0001340317],"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":[0.0005762745,0.0001366712,0.001861021,0.0002815511,0.000112393,0.0004558256,0.0003984081,0.5686839,0.02966393,0.1946058,0.004374549,0.1988495],"study_design_scores_gemma":[0.00003048542,0.00006254887,0.0001054434,0.00001050516,0.000009794632,0.00006112656,0.000008751013,0.9797237,0.00471353,0.01255404,0.00269953,0.00002058471],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01362381,0.0003032217,0.9824775,0.0001447508,0.0001389667,0.0000456545,0.00001545508,0.0005066365,0.002744079],"genre_scores_gemma":[0.6582064,0.000403236,0.3361146,0.0002485945,0.000144594,0.00011885,0.00004602002,0.0001798924,0.004537826],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001861656,"threshold_uncertainty_score":0.007318199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.113778904588728,"score_gpt":0.3753607109964548,"score_spread":0.2615818064077268,"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."}}