{"id":"W2151965495","doi":"10.1109/icsm.2002.1167788","title":"From legacy to Web through interaction modeling","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Legacy system; Computer science; User interface; Reuse; Context (archaeology); World Wide Web; Web service; Interface (matter); Software engineering; Suite; Business process reengineering; Human–computer interaction; Programming language; Operating system; Engineering; Software","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00005913185,0.00007212244,0.00008168499,0.00002419154,0.00006333867,0.00007811,0.0001377255,0.00001704817,0.00005032496],"category_scores_gemma":[0.0000363775,0.00005984386,0.0000238043,0.0001386208,0.000003739937,0.002369817,0.00007548498,0.00005038263,0.0002305484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002278152,"about_ca_system_score_gemma":0.00002411321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006914918,"about_ca_topic_score_gemma":0.0001110146,"domain_scores_codex":[0.9993598,0.00002605538,0.0001347985,0.0002506577,0.0001013119,0.0001273126],"domain_scores_gemma":[0.99949,0.00002522433,0.00002151188,0.0003829547,0.00003519019,0.00004518215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003128516,0.00001835442,0.00002220969,0.000002495604,0.000007228457,0.000004807939,0.001185592,0.01231671,0.002885177,0.9785392,0.001696046,0.003319006],"study_design_scores_gemma":[0.0001873434,0.00003092821,0.000004663904,0.00003862713,0.000001801739,0.00001068559,0.001205032,0.4097542,0.008219853,0.009014527,0.5712884,0.0002438644],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02347831,0.00003230527,0.9607238,0.0003179216,0.0006889496,0.00006447191,0.000003030305,0.0001293412,0.01456186],"genre_scores_gemma":[0.5023421,0.000002856618,0.4969262,0.0003327778,0.00005658497,0.00000647237,0.000002145156,0.000003439932,0.0003273993],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9695247,"threshold_uncertainty_score":0.2963311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03867623040924664,"score_gpt":0.2982459916851211,"score_spread":0.2595697612758745,"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."}}