{"id":"W2096282282","doi":"10.1109/scam.2005.27","title":"Transforming Embedded Java Code into Custom Tags","year":2006,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Java; Java applet; Programming language; Java API for XML-based RPC; Real time Java; Business logic; Java annotation; Source code; Code (set theory); Web page; Operating system; World Wide Web; Set (abstract data type)","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":[0.0002356149,0.0001234627,0.0001228362,0.00009984188,0.0001301566,0.0001324312,0.0006093606,0.00005982525,0.00001449222],"category_scores_gemma":[0.00004318497,0.0001062541,0.00005528617,0.0002967491,0.00003324556,0.0003210111,0.00007727295,0.00009583025,0.00005595243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003395847,"about_ca_system_score_gemma":0.00004171368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009574919,"about_ca_topic_score_gemma":0.00006958131,"domain_scores_codex":[0.9990306,0.00002164482,0.0001992698,0.0002951117,0.0002013217,0.0002520162],"domain_scores_gemma":[0.9992824,0.0001378641,0.00003710152,0.0004359924,0.00005495996,0.00005172914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007509463,0.0002282396,0.006609079,0.00005648558,0.00001604949,0.00009039615,0.002186439,0.0001711424,0.005893571,0.2391363,0.3834808,0.362124],"study_design_scores_gemma":[0.0005803885,0.0001778583,0.001268784,0.0001025802,0.00001235233,0.0001268063,0.00001765744,0.111263,0.0914992,0.7476172,0.04642167,0.0009123995],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007357618,0.00005348069,0.9528968,0.0005826627,0.0001124944,0.00009592619,4.243094e-7,0.01847959,0.02042099],"genre_scores_gemma":[0.5292864,0.000001149745,0.4696126,0.0002987778,0.00004614948,0.00001063767,0.000001307679,0.000007570978,0.000735338],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5219288,"threshold_uncertainty_score":0.4332916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01167616379038223,"score_gpt":0.2534006728177438,"score_spread":0.2417245090273616,"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."}}