{"id":"W4417131598","doi":"10.1109/ms.2025.3640399","title":"DevSecOps for Secure and Scalable Citizen Development","year":2025,"lang":"","type":"article","venue":"IEEE Software","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Leverage (statistics); Process (computing); Scalability; German; Shadow (psychology); Development (topology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007437896,0.001019803,0.0003474409,0.001520111,0.001228391,0.002579965,0.001647405,0.0009674274,0.009274136],"category_scores_gemma":[0.02323571,0.000963793,0.0009489183,0.0009274817,0.002029832,0.004029124,0.01264638,0.003170632,0.004626821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001012941,"about_ca_system_score_gemma":0.003695133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001534646,"about_ca_topic_score_gemma":0.00242976,"domain_scores_codex":[0.9928707,0.003011431,0.0005668274,0.0009314831,0.001952814,0.0006667226],"domain_scores_gemma":[0.9861673,0.003652398,0.0008777289,0.006837647,0.001442792,0.001022183],"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":[0.0004458003,0.0006362415,0.01137882,0.0009422725,0.0001265554,0.001653063,0.009228414,0.0279072,0.03579744,0.2727502,0.09381154,0.5453225],"study_design_scores_gemma":[0.0001692246,0.0003455729,0.004728796,0.0005457268,0.00003181343,0.001262376,0.001733863,0.09405415,0.03075501,0.1414407,0.7247811,0.0001516403],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02277558,0.0002760143,0.9207472,0.00108803,0.0001828583,0.001505737,0.001103676,0.02695062,0.02537035],"genre_scores_gemma":[0.1687739,0.0004457554,0.7960711,0.000370347,0.00007542974,0.002301947,0.00528647,0.007767543,0.01890757],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009274136,"threshold_uncertainty_score":0.03933585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.016514486260821,"score_gpt":0.2715754010249427,"score_spread":0.2550609147641217,"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."}}