{"id":"W4367845811","doi":"10.5281/zenodo.7888440","title":"Exploring Technical Debt in Security Questions on Stack Overflow","year":2023,"lang":"en","type":"paratext","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Stack (abstract data type); Computer security; 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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009001549,0.0002453235,0.0002459657,0.0007812943,0.001245985,0.00139566,0.002193501,0.0001920265,0.003252045],"category_scores_gemma":[0.000738371,0.0002770123,0.00008266228,0.001707966,0.00007704414,0.000637484,0.001853257,0.001099184,0.09210896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004821339,"about_ca_system_score_gemma":0.00001239757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008706447,"about_ca_topic_score_gemma":0.00000406404,"domain_scores_codex":[0.9972783,0.0004924557,0.0003467092,0.0008178482,0.0005851553,0.0004795512],"domain_scores_gemma":[0.9983749,0.00008447883,0.0001298507,0.0009593016,0.0002796702,0.0001717707],"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":[0.00003360569,0.0001594345,4.559442e-7,0.00009456676,0.00002040443,0.0000386768,0.0008522173,0.0007854698,0.0003028688,0.009511888,0.9476842,0.04051622],"study_design_scores_gemma":[0.0002674291,0.0002989181,0.000357068,0.0002525965,0.000004881325,0.00004220534,0.00003512808,0.001770216,0.0001908771,0.0006688203,0.9957908,0.0003210141],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007750785,0.0002521752,0.05308529,0.002395854,0.005694545,0.001676412,0.000654007,0.006702927,0.921788],"genre_scores_gemma":[0.9118211,0.006599253,0.002717227,0.0008650403,0.003752897,0.000003702975,0.008161239,0.01116184,0.05491766],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9040704,"threshold_uncertainty_score":0.9999682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1065646130294059,"score_gpt":0.2817468887274417,"score_spread":0.1751822756980357,"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."}}