{"id":"W7018569468","doi":"","title":"Development of advanced material models for the simulation of low frequency electromagnetic devices","year":2017,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Development (topology); Low frequency; Mathematical model; Electromagnetic field; Work (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005972665,0.0005638583,0.0006604349,0.0004480217,0.0004557282,0.000889043,0.001584819,0.001339606,0.003723716],"category_scores_gemma":[0.001934956,0.0004851306,0.0009541602,0.0005810188,0.0004234605,0.001140387,0.0004908197,0.001549707,0.001343813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006926763,"about_ca_system_score_gemma":0.001242262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003985216,"about_ca_topic_score_gemma":0.003785855,"domain_scores_codex":[0.9997913,0.00004187814,0.00001198683,0.00002213488,0.000113563,0.00001906458],"domain_scores_gemma":[0.9994092,0.0002935572,0.00004880728,0.00007504698,0.0001529296,0.00002035393],"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":[0.00001469138,0.00003702362,0.00042725,0.0001177306,0.00001616725,0.00005633617,0.00006852421,0.935328,0.004210906,0.04084088,0.00177556,0.01710692],"study_design_scores_gemma":[0.000004977371,0.000007752684,0.0000808828,0.00001403523,0.000002960514,0.00001162787,0.00000681643,0.9896237,0.0007003561,0.004252693,0.005290137,0.000004087926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01763372,0.0007661985,0.9600377,0.0004493036,0.0002501912,0.0001796805,0.0004365058,0.0007698805,0.01947674],"genre_scores_gemma":[0.3218314,0.002977424,0.6448712,0.0003096874,0.0001800336,0.001332869,0.00140459,0.0006443734,0.02644837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003985216,"threshold_uncertainty_score":0.01245707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02014025546708365,"score_gpt":0.2793560628670262,"score_spread":0.2592158073999426,"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."}}