{"id":"W2007444920","doi":"10.1145/1031414.1031417","title":"The PragmAda reusable components","year":2004,"lang":"en","type":"article","venue":"ACM SIGAda Ada Letters","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Apache (Canada)","funders":"","keywords":"Computer science; Variety (cybernetics); Component (thermodynamics); Software engineering; Artificial intelligence","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":[0.0004253808,0.0001880394,0.000165028,0.00003628449,0.0005582431,0.0004889598,0.003355854,0.00004530908,0.000002279907],"category_scores_gemma":[0.0001398397,0.0001371981,0.0000880706,0.0003617891,0.00007590554,0.0002991075,0.0006138898,0.0002127438,0.0002155189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001020082,"about_ca_system_score_gemma":0.00006746226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003739109,"about_ca_topic_score_gemma":0.00002051658,"domain_scores_codex":[0.9981828,0.00009680421,0.0003059478,0.0003941029,0.0004899164,0.000530367],"domain_scores_gemma":[0.9977474,0.000346772,0.0001407903,0.001606222,0.00004623865,0.0001125935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007568306,0.0004449768,0.006392963,0.0001454232,0.0005303473,0.001050875,0.00382885,0.1314086,0.06805813,0.2062757,0.5645596,0.01722888],"study_design_scores_gemma":[0.002907271,0.0001827109,0.01060161,0.0003306586,0.000022732,0.0002981326,0.00010711,0.006579838,0.004030805,0.02013198,0.9534782,0.001329025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4207976,0.0003950532,0.4698789,0.1027756,0.003332223,0.0004393547,0.000005792929,0.0006214825,0.001754011],"genre_scores_gemma":[0.9842249,0.000006782006,0.01075198,0.004635347,0.0001859396,0.00001419,0.000009132418,0.0000130862,0.0001586416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5634273,"threshold_uncertainty_score":0.6236068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01552825387454623,"score_gpt":0.2205371616111231,"score_spread":0.2050089077365768,"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."}}