{"id":"W3008773666","doi":"10.35191/medsoft_2018_1_30_44_60","title":"MODELOVÁNÍ EHEALTH PROCESŮ V POMOCÍ HIERARCHICKÝCH STAVOVÝCH AUTOMATŮ (STATECHARTS)","year":2018,"lang":"cs","type":"article","venue":"Medsoft","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fractal Systems (Canada)","funders":"","keywords":"Physics; eHealth; Computer science; Programming language; Political science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001156012,0.000950731,0.0008589425,0.0006615773,0.001147616,0.0007217309,0.003746799,0.0004191964,0.0005403871],"category_scores_gemma":[0.00004348268,0.0008635005,0.000240911,0.002593559,0.0004515094,0.001069888,0.0014014,0.001033059,0.003161285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001761574,"about_ca_system_score_gemma":0.001286956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001393745,"about_ca_topic_score_gemma":0.001311767,"domain_scores_codex":[0.9925544,0.0003946773,0.00115588,0.002032468,0.001638556,0.002224012],"domain_scores_gemma":[0.9950143,0.0002855178,0.0005439043,0.002346892,0.0008253501,0.0009840998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006001547,0.002805508,0.004800944,0.005522847,0.0008738948,0.000575029,0.2841757,0.001024238,0.004245434,0.08863441,0.02625521,0.5804867],"study_design_scores_gemma":[0.002590278,0.002892085,0.003642326,0.00111643,0.0001688323,0.0002720599,0.001327046,0.4694722,0.01098031,0.03198953,0.4729614,0.002587562],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5570101,0.005244574,0.3457184,0.02909325,0.01096952,0.0032805,0.000284401,0.004104254,0.04429502],"genre_scores_gemma":[0.9453461,0.0003247328,0.03065679,0.01693076,0.002874746,0.00008279068,0.00009376332,0.0001718094,0.003518492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5778991,"threshold_uncertainty_score":0.9993816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116929030587273,"score_gpt":0.2672135255326542,"score_spread":0.2555206224739269,"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."}}