{"id":"W2108441456","doi":"10.1145/1809198.1809207","title":"Mashup environments in software engineering","year":2010,"lang":"en","type":"article","venue":"","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Mashup; Interoperability; Computer science; Software engineering; World Wide Web; Software; Web application; Data science; Web service; Web 2.0; Programming language","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":[0.005674932,0.0005113308,0.0006218191,0.002044707,0.00180875,0.005767075,0.001045656,0.002807346,0.006976674],"category_scores_gemma":[0.009237747,0.0007170318,0.0004670187,0.003934551,0.005857878,0.01451628,0.005408736,0.004219145,0.002299002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00125434,"about_ca_system_score_gemma":0.001694313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001108455,"about_ca_topic_score_gemma":0.001267403,"domain_scores_codex":[0.9958911,0.002284688,0.0002731838,0.0005027098,0.0008795964,0.0001686948],"domain_scores_gemma":[0.9896544,0.007832642,0.000435392,0.001237017,0.0003718156,0.0004685921],"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":[0.00003467211,0.00006046342,0.0003298309,0.000378707,0.00001721834,0.0002007934,0.002046228,0.005007178,0.0006757489,0.8197476,0.00967166,0.1618298],"study_design_scores_gemma":[0.0000256719,0.00004651631,0.0002796062,0.0004227879,0.00001162999,0.0002518251,0.0007640088,0.01008246,0.0007238996,0.7621576,0.2251962,0.00003777075],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01227054,0.0327364,0.851482,0.01734611,0.001049573,0.000171051,0.0001686264,0.003621048,0.08115478],"genre_scores_gemma":[0.2162589,0.03017275,0.7241228,0.002900348,0.001740736,0.0006044544,0.0004124947,0.0008699289,0.02291759],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006976674,"threshold_uncertainty_score":0.03001225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006062614596645486,"score_gpt":0.1717862227863526,"score_spread":0.1657236081897071,"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."}}