{"id":"W4317884304","doi":"10.1063/5.0134890","title":"Accounting for the ultraviolet divergence in field-theoretic simulations of block copolymer melts","year":2023,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"Block Copolymer Self-Assembly","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada","keywords":"Divergence (linguistics); Statistical physics; Field (mathematics); Nonlinear system; Physics; Calibration; Gaussian; Saddle point; Work (physics); Theoretical physics; Quantum mechanics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006366363,0.00009564101,0.0002070977,0.00002787629,0.00007747224,0.00001822701,0.000632985,0.00004517617,0.00003278891],"category_scores_gemma":[0.0002910021,0.0000553626,0.00009860215,0.0003689965,0.0001207111,0.000111391,0.00009580999,0.0001807804,0.00001025516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001865056,"about_ca_system_score_gemma":0.00005758421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003057628,"about_ca_topic_score_gemma":0.000001709898,"domain_scores_codex":[0.9989105,0.00005661951,0.0004198361,0.00007866112,0.0003221223,0.0002122823],"domain_scores_gemma":[0.9965511,0.002693958,0.000349604,0.0002238441,0.0001502399,0.00003125006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008065595,0.00004060397,0.0002096786,0.00001866754,0.0000138043,5.168413e-7,0.0006419871,0.002347218,0.9952948,0.0005063841,0.0004618925,0.0003838029],"study_design_scores_gemma":[0.0003017506,0.00003430877,0.0001924353,0.00005518122,0.00007678898,0.000004445402,0.0001302333,0.004795945,0.9846769,0.009646932,0.00001908423,0.00006601325],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978304,0.0001556946,0.0007778743,0.0008108641,0.0002411646,0.0001178598,0.00001208482,0.00001070131,0.00004337038],"genre_scores_gemma":[0.9994628,0.00002679498,0.00009217965,0.0001281579,0.0002640531,0.000002466921,6.949015e-7,0.00001175004,0.00001103059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01061791,"threshold_uncertainty_score":0.2257621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01538065308557492,"score_gpt":0.2741706863100076,"score_spread":0.2587900332244327,"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."}}