{"id":"W2096580990","doi":"10.1109/earlyaspects.2007.8","title":"On the Contributions of an End-to-End AOSD Testbed","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Testbed; Computer science; Benchmark (surveying); Suite; Process (computing); Software; Mainstream; Software engineering; Set (abstract data type); Change impact analysis; Risk analysis (engineering); World Wide Web","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":[0.001258226,0.00007600046,0.0001007847,0.00007073833,0.00005977253,0.00001780095,0.0006307185,0.00003193401,0.00002095009],"category_scores_gemma":[0.003031374,0.00004887178,0.00002833971,0.0003622161,0.00004137272,0.0001336829,0.0001140336,0.000101195,0.00001895484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003012036,"about_ca_system_score_gemma":0.00002046521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001128878,"about_ca_topic_score_gemma":0.000005814247,"domain_scores_codex":[0.9992483,0.00006375898,0.0001433781,0.0001683879,0.0001620799,0.0002141354],"domain_scores_gemma":[0.9952256,0.004020268,0.00003295328,0.0005690688,0.00008566771,0.00006641472],"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":[0.000007194156,0.00004617638,0.00002066209,0.000002067939,0.000008657216,0.000006659869,0.0002641635,0.02332159,0.01788284,0.9149882,0.0002988571,0.04315296],"study_design_scores_gemma":[0.0003195754,0.0005535893,0.01115807,0.00002200102,0.000005462137,0.00001576941,0.0001232696,0.005957101,0.8000166,0.178289,0.003213513,0.0003260268],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02135313,0.00001062291,0.9763414,0.0007164998,0.0001870425,0.0001089611,0.00000353872,0.0003222346,0.0009565955],"genre_scores_gemma":[0.4683605,4.913622e-7,0.5312226,0.0002920603,0.00001673599,0.000003673964,4.498394e-7,0.000003117049,0.000100362],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7821338,"threshold_uncertainty_score":0.3629057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03804613135554831,"score_gpt":0.3289202680133135,"score_spread":0.2908741366577652,"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."}}