{"id":"W3027464055","doi":"10.1186/s12859-020-3494-x","title":"MEPHAS: an interactive graphical user interface for medical and pharmaceutical statistical analysis with R and Shiny","year":2020,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Data Analysis with R","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Chinese Government Scholarship; China Scholarship Council","keywords":"Computer science; Graphical user interface; Visualization; Interface (matter); Analytics; Workstation; User interface; Scatter plot; OS X; Data visualization; Statistical analysis; Data mining; Software; Programming language; Machine learning; Operating system; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009095216,0.002890767,0.001830232,0.003096673,0.0005221852,0.002843689,0.003804646,0.001782245,0.2127432],"category_scores_gemma":[0.04745369,0.001700501,0.002367768,0.002100606,0.00100174,0.003504413,0.004002578,0.002877114,0.07501019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006171471,"about_ca_system_score_gemma":0.002642378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001396974,"about_ca_topic_score_gemma":0.001999985,"domain_scores_codex":[0.9956995,0.001837262,0.0005158637,0.0006831614,0.001021389,0.0002427821],"domain_scores_gemma":[0.9661539,0.02654508,0.001461902,0.002092916,0.003024623,0.0007216279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00119709,0.00009099457,0.001901832,0.004634239,0.0005628115,0.0007190362,0.0007174488,0.004025514,0.007052992,0.01554098,0.7897412,0.1738159],"study_design_scores_gemma":[0.001434437,0.0003066569,0.006650079,0.001977061,0.0003913903,0.00164186,0.000214687,0.05340423,0.01598241,0.06020407,0.8572251,0.000568167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002847713,0.001257765,0.4966382,0.001457193,0.0007239074,0.0008252214,0.0493349,0.4378218,0.009093369],"genre_scores_gemma":[0.03552444,0.001552736,0.7444035,0.002816737,0.0005769723,0.0062394,0.03551928,0.1592328,0.01413423],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.2127432,"threshold_uncertainty_score":0.711697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.029111670027292,"score_gpt":0.333294396465094,"score_spread":0.304182726437802,"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."}}