{"id":"W2125219025","doi":"10.1109/rttas.1996.509528","title":"Temporal analysis and object-oriented real-time software development: a case study with ROOM/ObjecTime","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Computer Research Institute of Montréal","funders":"","keywords":"Executable; Computer science; Semantics (computer science); Programming language; Software; Software development; Software engineering; Automation; Temporal logic; Engineering","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":[0.0004459331,0.0002901029,0.0004362377,0.0004545253,0.0002373176,0.0001119008,0.0003371618,0.00005802749,0.0000569894],"category_scores_gemma":[0.000236129,0.000226931,0.00004757901,0.002204394,0.00004210481,0.0005284449,0.0003088327,0.0001479266,0.00002020664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006909292,"about_ca_system_score_gemma":0.00003276979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003146114,"about_ca_topic_score_gemma":0.0003302002,"domain_scores_codex":[0.9981279,0.0001467841,0.0003033387,0.0007192012,0.0003152271,0.0003875913],"domain_scores_gemma":[0.9983687,0.0005661206,0.00009712332,0.0007018274,0.0001137596,0.000152446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001175214,0.00230722,0.5420814,0.0001129266,0.006698807,0.03731159,0.09897815,0.06876642,0.0003255666,0.0002877184,0.0006041368,0.2424085],"study_design_scores_gemma":[0.02259937,0.01535163,0.3156683,0.0002999642,0.004541825,0.03904001,0.03238615,0.5352711,0.01131582,0.001703025,0.003793837,0.01802895],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3167685,0.00003579057,0.6817437,0.00001182376,0.00002982297,0.0002127474,6.911202e-7,0.001093512,0.0001034689],"genre_scores_gemma":[0.2972048,0.000003289164,0.701433,0.00001483297,0.00000856722,0.00003077013,0.000001409172,0.00001410065,0.001289226],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4665047,"threshold_uncertainty_score":0.9253976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02361062929209342,"score_gpt":0.2585181195580339,"score_spread":0.2349074902659405,"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."}}