{"id":"W1964786728","doi":"10.1016/j.procs.2014.08.043","title":"Visualizing Information for Electromyographic Characterization","year":2014,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Allison University","funders":"","keywords":"Computer science; Visualization; Data science; Human–computer interaction; Data visualization; Artificial intelligence","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":[0.001892099,0.001679128,0.000758994,0.004876243,0.0007637562,0.004096807,0.001083156,0.001727853,0.01615531],"category_scores_gemma":[0.01167885,0.0005490899,0.0007907139,0.003500167,0.0006370003,0.003411736,0.002647751,0.001358321,0.001909166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005804116,"about_ca_system_score_gemma":0.0006943714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00154996,"about_ca_topic_score_gemma":0.002178918,"domain_scores_codex":[0.9991736,0.0003721248,0.00008761696,0.00008906159,0.0002183247,0.00005916086],"domain_scores_gemma":[0.9942113,0.004256771,0.0003019045,0.0004991977,0.0005464308,0.00018449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001087242,0.0001901346,0.005493654,0.002852466,0.0001667224,0.002880822,0.005773399,0.02947518,0.0551018,0.06452528,0.04878652,0.7836667],"study_design_scores_gemma":[0.0002306066,0.0005025445,0.009607117,0.002489138,0.0003072746,0.006306482,0.003583902,0.3492348,0.06288575,0.2461327,0.3182392,0.0004804367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01977035,0.004618674,0.9489738,0.002893149,0.0002200687,0.0002521462,0.003376253,0.01158748,0.00830803],"genre_scores_gemma":[0.1867466,0.004026221,0.8031682,0.0002817459,0.0001910567,0.0003278141,0.002176505,0.0009073411,0.002174488],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01615531,"threshold_uncertainty_score":0.05404484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006464410917255394,"score_gpt":0.2345434251680867,"score_spread":0.2280790142508313,"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."}}