{"id":"W2912238135","doi":"10.1145/3245181","title":"Session details: Volume II: Software development and system software & security: programming for separation of concerns track","year":2013,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Session (web analytics); Computer science; Track (disk drive); Software development; Software; Volume (thermodynamics); Software security assurance; Software engineering; Separation of concerns; Software construction; Operating system; World Wide Web; Cloud computing; Cloud computing security","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":[0.0005139293,0.0002118912,0.0003495576,0.00008260224,0.0003775657,0.0001540613,0.0003589202,0.0001591928,0.00001483768],"category_scores_gemma":[0.0001028608,0.0001606668,0.00007657584,0.0002218691,0.00006084951,0.0009838919,0.0002281229,0.00008643349,0.0000382018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001106107,"about_ca_system_score_gemma":0.0001824356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008558026,"about_ca_topic_score_gemma":0.00004556128,"domain_scores_codex":[0.998174,0.00005036933,0.0006137305,0.0004938521,0.0003232577,0.0003448594],"domain_scores_gemma":[0.998588,0.0001100378,0.0002450289,0.0004575414,0.0004698564,0.0001294822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003310069,0.0003134877,0.1625117,0.006229418,0.0001223664,0.000001571104,0.02087463,0.0001285476,0.0002754163,0.001541913,0.005155396,0.8028125],"study_design_scores_gemma":[0.01110724,0.003239525,0.1159962,0.006856293,0.000266206,0.000382929,0.009098465,0.256438,0.05905093,0.004388967,0.5266644,0.006510833],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4429218,0.0001327468,0.555204,0.00006349181,0.0002122129,0.001052962,0.000002368743,0.0003925045,0.0000179164],"genre_scores_gemma":[0.6560777,0.00000255841,0.3430487,0.00002485647,0.00004193407,0.0003456748,0.00001422533,0.00001041034,0.0004339142],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7963017,"threshold_uncertainty_score":0.6551803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02179578216614718,"score_gpt":0.2745368864837756,"score_spread":0.2527411043176284,"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."}}