{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001638543,0.0006683414,0.0003975741,0.001031932,0.0006819844,0.003395667,0.0009584146,0.001006166,0.01100996],"category_scores_gemma":[0.003057458,0.0004797635,0.0009024114,0.000997149,0.001124052,0.002884579,0.001203245,0.001460908,0.001769362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00149498,"about_ca_system_score_gemma":0.003947414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01197067,"about_ca_topic_score_gemma":0.009085836,"domain_scores_codex":[0.9986914,0.0004310794,0.0001067863,0.0002432709,0.0004189597,0.0001086004],"domain_scores_gemma":[0.9982355,0.0008649463,0.0001596509,0.0003292278,0.0003327654,0.00007793393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004842566,0.000393719,0.007991667,0.001136538,0.0001549948,0.0003913035,0.001972783,0.310549,0.03050075,0.4581467,0.009979635,0.1782986],"study_design_scores_gemma":[0.0001866097,0.0005523784,0.005358869,0.0005003528,0.0002630991,0.0002718261,0.000747126,0.5905341,0.03995839,0.2000292,0.1613697,0.0002283068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02812512,0.0005112172,0.9406394,0.0008024024,0.0001089129,0.0004597946,0.001656338,0.004176283,0.02352057],"genre_scores_gemma":[0.5159236,0.002599633,0.4404626,0.0002936865,0.0000796406,0.001634861,0.003035044,0.0006052249,0.03536574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01197067,"threshold_uncertainty_score":0.03683197,"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."}}