{"id":"W2135862899","doi":"10.1109/iembs.1999.802658","title":"EMG mapping-estimating dipole locations by Legendre polynomial derivatives","year":2003,"lang":"en","type":"article","venue":"","topic":"Wireless Power Transfer Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Legendre polynomials; Inverse problem; Inverse; Position (finance); Polynomial; Simple (philosophy); Square (algebra); Mathematical analysis; Surface (topology); Dipole; Legendre function; Mathematics; SIGNAL (programming language); Derivative (finance); Directional derivative; Applied mathematics; Algorithm; Computer science; Geometry; 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":[0.0005000336,0.0006146269,0.0005375008,0.0008187578,0.0002096273,0.0006369578,0.0005067907,0.0006384167,0.001620321],"category_scores_gemma":[0.002950748,0.0004026053,0.0004863787,0.001369755,0.0004654335,0.0009645613,0.0003436771,0.0006055661,0.001336189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003403915,"about_ca_system_score_gemma":0.00036397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001982958,"about_ca_topic_score_gemma":0.003052838,"domain_scores_codex":[0.9997533,0.00008064298,0.00001035132,0.0000644789,0.00006773537,0.00002354642],"domain_scores_gemma":[0.9995741,0.0002376875,0.00004042312,0.000062853,0.00007098309,0.00001392543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002865538,0.00004641388,0.002301833,0.0002866238,0.00005700344,0.0002425808,0.0003111266,0.1326256,0.1651957,0.01638053,0.003500039,0.6787661],"study_design_scores_gemma":[0.0000290618,0.0000860673,0.004682796,0.00003267469,0.00003811757,0.0007570113,0.00007328915,0.9186175,0.053468,0.01523749,0.006928429,0.00004940865],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01125415,0.0002636859,0.9868968,0.00007878925,0.00001882976,0.00001631489,0.00005160999,0.000674958,0.0007447476],"genre_scores_gemma":[0.2191476,0.0006230008,0.7771912,0.00004089483,0.00003528328,0.00003297205,0.000120162,0.0002394378,0.002569438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001982958,"threshold_uncertainty_score":0.005420506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01019015253433395,"score_gpt":0.2019643461027584,"score_spread":0.1917741935684244,"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."}}