{"id":"W48157968","doi":"","title":"Formal semantics and verification of use case maps","year":2008,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Executable; Software engineering; Programming language; Formal semantics (linguistics); Formal methods; Reuse; Notation; Formal specification; Formal verification; Software development; Semantics (computer science); Software; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004693819,0.0002241729,0.0003460731,0.001059127,0.0004734917,0.00009935501,0.0007663674,0.0002808537,8.902104e-7],"category_scores_gemma":[0.0004266282,0.0002648598,0.00009601007,0.0009588897,0.0002287663,0.001266197,0.0003040218,0.0007511244,0.000002368969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002448479,"about_ca_system_score_gemma":0.000414017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002594062,"about_ca_topic_score_gemma":0.001147042,"domain_scores_codex":[0.9977592,0.0004248729,0.0002488293,0.0005788766,0.0004882076,0.0005000732],"domain_scores_gemma":[0.9974731,0.0009703305,0.0002062232,0.0008362815,0.0003516638,0.000162465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00334625,0.001127754,0.0658379,0.007963248,0.002152862,0.2434581,0.03421574,0.01106604,0.1134595,0.4300202,0.003857025,0.08349534],"study_design_scores_gemma":[0.005508828,0.004535923,0.3274874,0.001674102,0.0004143341,0.02116996,0.01669279,0.01233686,0.5306154,0.01670631,0.05674277,0.006115297],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7884346,0.0002933787,0.207551,0.00004084908,0.0007810562,0.000373403,0.00001111203,0.0002425442,0.002272093],"genre_scores_gemma":[0.9549805,0.001158336,0.02947324,0.000001579917,0.00009404407,0.000002934594,0.0000418641,0.00003807338,0.01420946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4171559,"threshold_uncertainty_score":0.9999804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06203369366498383,"score_gpt":0.304180296523221,"score_spread":0.2421466028582371,"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."}}