{"id":"W4206142054","doi":"10.1088/1361-6668/ac4b9f","title":"Electromagneto-mechanical model of high temperature superconductor insert magnets in ultra high magnetic fields","year":2022,"lang":"en","type":"article","venue":"Superconductor Science and Technology","topic":"Physics of Superconductivity and Magnetism","field":"Physics and Astronomy","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México","keywords":"Magnet; Materials science; Magnetic field; Lorentz force; Electromagnetic coil; Superconducting magnet; Superconductivity; Condensed matter physics; Mechanical engineering; Composite material; Electrical engineering; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006034337,0.0003375035,0.000553673,0.0008501327,0.0004537567,0.00005523333,0.001058482,0.0001499997,0.001149817],"category_scores_gemma":[0.00006187025,0.0003472159,0.00006697111,0.002184827,0.001207173,0.001839097,0.0005388628,0.001095359,0.000005881634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001112328,"about_ca_system_score_gemma":0.0008080786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002216623,"about_ca_topic_score_gemma":0.0001188811,"domain_scores_codex":[0.9970363,0.00006725979,0.0004415337,0.0009296536,0.0007094789,0.0008157166],"domain_scores_gemma":[0.9987862,0.00005714873,0.00006149503,0.0006672399,0.0002834471,0.0001444822],"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":[0.00001140979,0.0002475377,0.0007260061,0.00001125075,0.000007436526,0.000006150039,0.0002594208,0.00003159698,0.7841608,0.2108987,0.00007596487,0.003563684],"study_design_scores_gemma":[0.002164931,0.002272621,0.0006537719,0.00002349318,0.0000488307,0.0000634328,0.005149954,0.0007762239,0.5555455,0.4318075,0.0005310078,0.000962676],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959632,0.0002720387,0.000008926975,0.002392505,0.0003104858,0.0003744246,0.0001420289,0.00007566764,0.0004607103],"genre_scores_gemma":[0.9984149,0.00003049653,0.0009118074,0.0001652866,0.00005846817,0.0001611248,0.00002041764,0.00002691564,0.0002105421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2286153,"threshold_uncertainty_score":0.999898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008045586081365583,"score_gpt":0.2087942470061356,"score_spread":0.2007486609247701,"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."}}