{"id":"W1524755212","doi":"10.1007/978-3-642-12186-9_60","title":"Verification of Careflow Management Systems with Timed BDI CTL Logic","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in business information processing","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; CTL*; Temporal logic; Programming language; Computation tree logic; Software engineering; Medicine","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"],"consensus_categories":[],"category_scores_codex":[0.0003894052,0.0006423148,0.0007919132,0.001712946,0.0002502942,0.00072731,0.0005039022,0.0006373645,0.00008956649],"category_scores_gemma":[0.0001081069,0.0005279796,0.00009485301,0.001087883,0.0001700662,0.003212729,0.0001346625,0.0006181759,0.00008031775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000094851,"about_ca_system_score_gemma":0.000131415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001955011,"about_ca_topic_score_gemma":0.00008133522,"domain_scores_codex":[0.9971952,0.000004977658,0.001179495,0.000436766,0.0008192054,0.0003643743],"domain_scores_gemma":[0.9951926,0.00003278826,0.002010392,0.00052812,0.002217905,0.00001822282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004617957,0.0001374082,0.00075868,0.0451246,0.0003045079,0.00002979059,0.0005347585,0.3130038,0.0001252285,0.04615208,0.00006533122,0.5933021],"study_design_scores_gemma":[0.006887867,0.0000600111,0.002501005,0.03038575,0.003927755,0.00006748428,0.0004636483,0.6176753,0.0005011759,0.07981596,0.2501142,0.007599817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008008635,0.001650671,0.8049332,0.001090477,0.0008517075,0.001322174,0.00002382724,0.000487208,0.1888399],"genre_scores_gemma":[0.9907011,0.0001756449,0.004853916,0.0008363624,0.0007438408,0.0001066195,0.001421966,0.0001271536,0.001033404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9899002,"threshold_uncertainty_score":0.9997172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210784371031294,"score_gpt":0.2030160265491758,"score_spread":0.1909081828388628,"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."}}