{"id":"W4312069032","doi":"","title":"h-phi Finite-Element Formulation for Modelling Thin Superconducting Layers","year":2021,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Finite element method; Superconductivity; Materials science; Physics; Computer science; Condensed matter physics; Thermodynamics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002482504,0.0004767085,0.0005708198,0.0003210583,0.0002505503,0.0008563212,0.000831064,0.001420565,0.003836277],"category_scores_gemma":[0.0006645971,0.0003611099,0.0003664947,0.0004010922,0.0005498978,0.0005772386,0.0005660512,0.000711309,0.0006330108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003170581,"about_ca_system_score_gemma":0.0006128133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002185176,"about_ca_topic_score_gemma":0.002385742,"domain_scores_codex":[0.9998994,0.0000305346,0.000005207252,0.00001407646,0.00004115449,0.000009672975],"domain_scores_gemma":[0.9997842,0.0001081736,0.00002336967,0.00001977102,0.00005124623,0.00001325757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002902092,0.00002526836,0.0003051804,0.000136087,0.00001840682,0.0001369441,0.00007555099,0.9590428,0.01051383,0.02063845,0.0007174705,0.008361019],"study_design_scores_gemma":[0.000004599496,0.000008561122,0.00006543605,0.000008633388,0.000002489376,0.00001842757,0.00001616938,0.9953193,0.0007880185,0.002540213,0.001225083,0.000003024466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05442672,0.0005178688,0.9154307,0.0004237015,0.0001432774,0.0001046243,0.0004615917,0.0003326262,0.02815886],"genre_scores_gemma":[0.7211916,0.0009236605,0.2375929,0.0002680978,0.0001141974,0.0003016188,0.0005804763,0.0002953689,0.03873202],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003836277,"threshold_uncertainty_score":0.0128336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05066612666447726,"score_gpt":0.2858622386670079,"score_spread":0.2351961120025306,"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."}}