{"id":"W4252757135","doi":"10.1145/1454497.1454487","title":"A buffer container class hierarchy using Ada 2005","year":2008,"lang":"en","type":"article","venue":"ACM SIGAda Ada Letters","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"General Dynamics (Canada)","funders":"","keywords":"Computer science; Abstraction; Container (type theory); Interface (matter); Set (abstract data type); Notation; Programming language; Implementation; Class (philosophy); Prefix; Class hierarchy; Hierarchy; Object-oriented programming; Operating system","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":[0.0002202268,0.0002419824,0.000252054,0.0001847875,0.0003315736,0.0001097782,0.001544679,0.00008311029,0.00002112186],"category_scores_gemma":[0.0001026748,0.0002341274,0.0001055088,0.000387184,0.0001177483,0.0004889315,0.0005181188,0.000260139,0.00002809081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001232467,"about_ca_system_score_gemma":0.0001138397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002342921,"about_ca_topic_score_gemma":0.000007785698,"domain_scores_codex":[0.9980869,0.0001259905,0.0003231234,0.0005050195,0.0004185206,0.0005404625],"domain_scores_gemma":[0.9983639,0.0002007114,0.0001325393,0.001075224,0.00007519676,0.0001525012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007337793,0.0003010338,0.01117426,0.0000609918,0.0002312816,0.001425814,0.003646887,0.1185903,0.05678059,0.006687693,0.79304,0.007987794],"study_design_scores_gemma":[0.002250761,0.0001999788,0.003381001,0.0001931326,0.00003509558,0.0008919028,0.00004402239,0.8048025,0.02380916,0.001661726,0.1605076,0.002223125],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1651833,0.0001335663,0.8242054,0.008936015,0.0002890813,0.0001673961,0.000001373072,0.0006864716,0.0003973568],"genre_scores_gemma":[0.5172266,0.00002784648,0.4633665,0.01885265,0.0001917701,0.00001197471,0.000004820729,0.00002693563,0.0002908937],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6862122,"threshold_uncertainty_score":0.9547437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03293955057329957,"score_gpt":0.2526945720623003,"score_spread":0.2197550214890007,"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."}}