{"id":"W2626069043","doi":"","title":"Preliminary study of 3D modeling of superconductors using analytical formulae","year":2011,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Superconducting Materials and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Conductor; Superconductivity; Finite element method; Physics; Magnetic field; Electromagnetic coil; Magnetic potential; Electrical conductor; Computer science; Computational physics; Mechanics; Condensed matter physics; Mathematics; Geometry; Quantum mechanics","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":[0.0004440467,0.0005691523,0.0006601061,0.0006140396,0.000532684,0.001222597,0.0009694942,0.0009457064,0.004322939],"category_scores_gemma":[0.002244354,0.0003665548,0.0007503715,0.0006855538,0.0004278712,0.0006914681,0.0004320864,0.000556747,0.0006424381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006280575,"about_ca_system_score_gemma":0.0006117439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006001092,"about_ca_topic_score_gemma":0.004938468,"domain_scores_codex":[0.999841,0.00006148642,0.000008871409,0.00001782422,0.00005746412,0.0000134385],"domain_scores_gemma":[0.9993809,0.0003178931,0.0000553086,0.00007446895,0.0001460215,0.00002533041],"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":[0.00006384841,0.00005973411,0.0007853754,0.0002048585,0.00002889613,0.0002066979,0.0002250711,0.9061234,0.01110184,0.06543451,0.001424816,0.01434087],"study_design_scores_gemma":[0.000003235777,0.000005244332,0.00008597783,0.000006495969,0.000002669596,0.00001457306,0.000008842895,0.9948716,0.0006420745,0.003445835,0.0009092105,0.000004207778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2744052,0.001911017,0.6561739,0.001068107,0.0001917907,0.0002110386,0.001307333,0.00175674,0.06297485],"genre_scores_gemma":[0.8501515,0.001523213,0.1329372,0.0001682478,0.00009310543,0.000225052,0.0005132954,0.0005677711,0.0138205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006001092,"threshold_uncertainty_score":0.0144617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05403647912195902,"score_gpt":0.2555939191979105,"score_spread":0.2015574400759515,"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."}}