{"id":"W2335568261","doi":"10.3724/sp.j.1001.2010.03711","title":"Syntax and Semantics of Timed Property Sequence Chart","year":2011,"lang":"en","type":"article","venue":"Journal of Software","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Parkinson Canada","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Sequence (biology); Chart; Computer science; Property (philosophy); Programming language; Expressive power; Syntax; Specification pattern; Semantics (computer science); Automaton; Algorithm; Theoretical computer science; Natural language processing; Mathematics; Software; Statistics; Software development","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":[0.0005775997,0.0000597805,0.0001454132,0.00006277925,0.00002869237,0.00001524744,0.0004235902,0.00003856494,0.00001749995],"category_scores_gemma":[0.0003271858,0.00003790772,0.00003479584,0.0001358317,0.0000687537,0.0005663841,0.0000982911,0.0001183798,0.000005356688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001820001,"about_ca_system_score_gemma":0.00005315677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007117264,"about_ca_topic_score_gemma":2.955522e-7,"domain_scores_codex":[0.9992757,0.00005385367,0.0002942888,0.0000802506,0.0002058245,0.00009005998],"domain_scores_gemma":[0.9991078,0.00003368349,0.0003825982,0.0002047033,0.000210193,0.0000610647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001908922,0.0004949757,0.07555417,0.000639485,0.0001799442,0.0002203749,0.01955827,0.00004790453,0.05256285,0.01666019,0.00305006,0.8308409],"study_design_scores_gemma":[0.002180573,0.003859618,0.3578348,0.001748941,0.0001771176,0.005668219,0.0004160177,0.03252144,0.548207,0.03728592,0.008917504,0.001182858],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09071536,0.0001278689,0.9084486,0.0001188827,0.000275411,0.00007093593,0.000001243204,0.00002242592,0.0002192862],"genre_scores_gemma":[0.231861,0.00004310524,0.7679709,0.00004418073,0.00001912203,5.007199e-7,4.647788e-8,0.000003546671,0.00005759799],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.829658,"threshold_uncertainty_score":0.1545832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09417235706746867,"score_gpt":0.2783986332779715,"score_spread":0.1842262762105029,"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."}}