{"id":"W2911278647","doi":"","title":"2nd workshop on DevOps and software analytics for continuous engineering and improvement","year":2018,"lang":"en","type":"article","venue":"Computer Science and Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; École de Technologie Supérieure; University of Victoria","funders":"","keywords":"DevOps; Software deployment; Software engineering; Computer science; IBM; Toolchain; Software analytics; Software development; Software; Analytics; Software system; Data science; Software construction; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001116741,0.0003572267,0.0003361078,0.0005591021,0.0003585714,0.0008300581,0.0008040776,0.0001015541,0.000001101141],"category_scores_gemma":[0.002462654,0.0003528644,0.00004018955,0.0009071865,0.0002560767,0.0007210264,0.0009286174,0.0002554568,0.000002366524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001248217,"about_ca_system_score_gemma":0.0001043733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000772729,"about_ca_topic_score_gemma":0.000002153094,"domain_scores_codex":[0.9972816,0.000008572469,0.0002871206,0.0009930829,0.0005750238,0.0008546289],"domain_scores_gemma":[0.9970288,0.00148047,0.00005108773,0.000608484,0.000390279,0.000440923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002471028,0.00008875785,0.01595207,0.0006233936,0.0001169073,0.00005581501,0.002536127,0.02195855,0.003187291,0.006150365,0.0006624894,0.9486435],"study_design_scores_gemma":[0.0006156501,0.0005971808,0.02589053,0.0002642552,0.00001173638,0.00006339552,0.00001038807,0.9669466,0.001634253,0.00009830607,0.00322316,0.000644526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2108153,0.0003059066,0.7872738,0.00009814603,0.0006601593,0.0003091336,0.000003814869,0.0005325204,0.000001145372],"genre_scores_gemma":[0.471721,0.00005065876,0.5275801,0.0001796781,0.0003575061,0.00004710214,0.000001359077,0.00003850712,0.00002404338],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.947999,"threshold_uncertainty_score":0.9998924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444956978332487,"score_gpt":0.2449149988382957,"score_spread":0.2304654290549708,"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."}}