{"id":"W4255962326","doi":"10.2991/ijndc.2016.4.1.7","title":"Using SPIN to Check Simulink Stateflow Models","year":2016,"lang":"en","type":"article","venue":"The International journal of networked and distributed computing","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Education, Culture, Sports, Science and Technology; CMC Microsystems","keywords":"Stateflow; Computer science; Programming language; Embedded system; Software engineering; MATLAB","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002815317,0.001136195,0.0006538486,0.001386238,0.0008062015,0.001623014,0.00127755,0.0006718794,0.004979831],"category_scores_gemma":[0.01432833,0.0006909473,0.001256645,0.0007455443,0.001372502,0.003007564,0.001370474,0.001077736,0.0005783414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001082986,"about_ca_system_score_gemma":0.002988152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01100554,"about_ca_topic_score_gemma":0.01494038,"domain_scores_codex":[0.9966744,0.001159795,0.0002720141,0.0003820086,0.001278174,0.0002336341],"domain_scores_gemma":[0.9875171,0.007496512,0.001231,0.002384221,0.001243849,0.0001272871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004923847,0.000242153,0.008630012,0.000602864,0.0002544461,0.0003831788,0.0003582942,0.8240571,0.01800126,0.07678585,0.00253439,0.0676581],"study_design_scores_gemma":[0.00005884891,0.0001298989,0.0002962866,0.00004893167,0.00006098759,0.00005997699,0.00005942778,0.9444998,0.02912514,0.02200842,0.003624949,0.00002729446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07423329,0.0001157562,0.9081361,0.00012057,0.00008123308,0.0001456988,0.0006508895,0.01363158,0.002884981],"genre_scores_gemma":[0.6948291,0.0001870546,0.300622,0.00009213173,0.00002235803,0.0002661315,0.00122229,0.0009245317,0.001834415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01100554,"threshold_uncertainty_score":0.02188301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0414733582807776,"score_gpt":0.2750858829101968,"score_spread":0.2336125246294192,"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."}}