{"id":"W2150657233","doi":"10.1109/tmag.2004.824594","title":"Solenoidal Current Flows for Filamentary Conductors","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Magnetics","topic":"Superconducting Materials and Applications","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Solenoidal vector field; Electrical conductor; Current density; Electromagnetic coil; Conductor; Current (fluid); Magnetic field; Computation; Physics; Current source; Computational physics; Mechanics; Vector field; Computer science; Geometry; Algorithm; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.00003481839,0.0001361139,0.0001083645,0.00005621567,0.0001109411,0.00003145907,0.00008929518,0.00005126949,0.0002221327],"category_scores_gemma":[0.00000110924,0.0001437223,0.00006990205,0.00007886937,0.00002573842,0.00006230546,3.763367e-7,0.0001149752,0.00006553913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005855058,"about_ca_system_score_gemma":0.00001734596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001081397,"about_ca_topic_score_gemma":0.00002440064,"domain_scores_codex":[0.9994103,0.000004937319,0.0001758044,0.0001422318,0.00007692348,0.0001898261],"domain_scores_gemma":[0.999689,0.00003149364,0.00001002217,0.0001814245,0.00002485937,0.00006323554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001281338,0.0002364504,0.000001460824,0.000121857,0.00003890814,6.553281e-7,0.0004388359,0.5109865,0.4323309,0.0001998576,0.0008317368,0.0548],"study_design_scores_gemma":[0.001335224,0.0002703086,0.00002481066,0.00004931351,0.0001063954,0.000008599396,0.0002163879,0.005342329,0.9636683,0.001428397,0.027089,0.0004608646],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.606328,0.0001193376,0.3905128,0.0001232703,0.0020294,0.0003219035,0.0002131781,0.0002686138,0.00008354617],"genre_scores_gemma":[0.991596,0.0001736375,0.007753804,0.00003685771,0.000138472,0.0001969268,0.00001488455,0.00004060538,0.00004875815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5313374,"threshold_uncertainty_score":0.5860823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454356348665738,"score_gpt":0.2444535301855858,"score_spread":0.2199099666989285,"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."}}