{"id":"W2109627209","doi":"10.1109/icdar.1995.601962","title":"Analyzing the logical structure of data flow diagrams in software documents","year":2002,"lang":"en","type":"article","venue":"","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Diagrammatic reasoning; Data flow diagram; Computer science; Logical data model; Concurrency; Formalism (music); Data structure; Theoretical computer science; Notation; Software; Programming language; Flowchart; Equivalence (formal languages); Data modeling; Algorithm; Software engineering; Mathematics; Database; Discrete mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004696923,0.0007172679,0.0004588419,0.005070791,0.00153534,0.005309628,0.0009009221,0.001633003,0.002745124],"category_scores_gemma":[0.02249402,0.0008861421,0.001091756,0.003152503,0.002798563,0.007463786,0.001330668,0.00152711,0.000661944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002167633,"about_ca_system_score_gemma":0.002958934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003886296,"about_ca_topic_score_gemma":0.00261642,"domain_scores_codex":[0.9961273,0.001499426,0.0004898422,0.0005536301,0.001106223,0.0002236096],"domain_scores_gemma":[0.9808487,0.01398703,0.001890724,0.001262387,0.00176914,0.0002421385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001688837,0.0001832537,0.005025438,0.0007413222,0.00004106371,0.0009136489,0.003843027,0.04568979,0.01756844,0.7811632,0.002767698,0.1418943],"study_design_scores_gemma":[0.00008418926,0.000135993,0.001796474,0.0003399174,0.00007296585,0.0007030605,0.0009125217,0.1323707,0.02950467,0.7840437,0.04992478,0.0001109083],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03141888,0.0003091368,0.9634177,0.0004908774,0.0000350844,0.0002055728,0.0004773419,0.00121188,0.002433491],"genre_scores_gemma":[0.2310481,0.0009069358,0.7626573,0.0001857021,0.00005774169,0.0003712209,0.001810893,0.0004028663,0.002559243],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005309628,"threshold_uncertainty_score":0.02484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08355708970866374,"score_gpt":0.3258790509264552,"score_spread":0.2423219612177915,"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."}}