{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007314922,0.00009911479,0.00009046742,0.0002718863,0.0003998441,0.0008271968,0.001289001,0.00002531503,4.7399e-7],"category_scores_gemma":[0.00006869914,0.00009458088,0.00002943435,0.001367584,0.00008568909,0.003923855,0.0002259159,0.00005328437,0.00002013167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000228149,"about_ca_system_score_gemma":0.000093466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001338966,"about_ca_topic_score_gemma":3.261639e-7,"domain_scores_codex":[0.9988288,0.000009496441,0.0002089431,0.0003437555,0.0002874367,0.0003215398],"domain_scores_gemma":[0.9990324,0.00005414811,0.0001277467,0.0003859758,0.0002989929,0.0001006798],"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":[6.26962e-7,0.00001625448,0.00008533485,0.00001497963,0.000001308982,1.862066e-8,0.0002616475,0.00001152717,0.004913096,0.1521472,0.00009883108,0.8424491],"study_design_scores_gemma":[0.0001340422,0.00009900022,0.005783686,0.000009721453,0.000001453811,0.000006302692,0.000001323772,0.971228,0.002976125,0.002552802,0.01706706,0.000140477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005413279,0.000002392319,0.9929838,0.0005724034,0.0003940606,0.000249364,0.000003386115,0.000249628,0.0001317264],"genre_scores_gemma":[0.307237,0.000004936877,0.6914653,0.0009168132,0.0001905105,0.0001332633,0.00004291449,0.000004439487,0.000004778068],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9712165,"threshold_uncertainty_score":0.7976677,"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."}}