{"id":"W2350159543","doi":"","title":"A Method of Data Flow Analysis Based on Visual C","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data-flow analysis; Slicing; Program slicing; Data flow diagram; Key (lock); Software; Flow (mathematics); Code (set theory); Program optimization; Programming language; Program analysis; Theoretical computer science; Data mining; Algorithm; Parallel computing; Database; Computer graphics (images); Operating system; Compiler","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006909427,0.00147152,0.000894937,0.004240703,0.000975422,0.002113133,0.001823206,0.0008716609,0.007672842],"category_scores_gemma":[0.002725775,0.000544973,0.001207053,0.002257304,0.001131496,0.001758017,0.001180702,0.001511549,0.002309721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009010784,"about_ca_system_score_gemma":0.002272184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005805423,"about_ca_topic_score_gemma":0.002251501,"domain_scores_codex":[0.9986695,0.0001851172,0.00008371198,0.0003772797,0.0005896351,0.00009471266],"domain_scores_gemma":[0.9989125,0.0003281441,0.0000547671,0.0001881716,0.0004695121,0.00004698832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001987882,0.00006634687,0.0006558345,0.0007515724,0.00009320785,0.0002115618,0.0002423709,0.01949495,0.0525029,0.1202231,0.01421872,0.7913407],"study_design_scores_gemma":[0.0001806096,0.0002296855,0.001159772,0.0002458434,0.0001733447,0.001518016,0.0000920598,0.6201014,0.1113975,0.09231611,0.1722696,0.0003160073],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004891318,0.00009185822,0.9943693,0.00003082848,0.0000598625,0.00005785508,0.00006578179,0.003142703,0.001692668],"genre_scores_gemma":[0.03246649,0.0003037677,0.9616811,0.0001119836,0.000085565,0.0002875828,0.0002875749,0.000883183,0.003892771],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007672842,"threshold_uncertainty_score":0.0256682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04909596633653873,"score_gpt":0.3688014728840901,"score_spread":0.3197055065475514,"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."}}