{"id":"W4386307641","doi":"10.1145/3616383","title":"A First Look into Software Security Practices in Bangladesh","year":2023,"lang":"en","type":"article","venue":"ACM Journal on Computing and Sustainable Societies","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Software security assurance; Security bug; Computer security; Software development; Security through obscurity; Outsourcing; Business; Secure coding; Context (archaeology); Application security; Software; Security information and event management; Cloud computing security; Computer science; Security service; Information security; Cloud computing; Geography; Marketing","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":[0.0007052554,0.0003878865,0.0002435482,0.001374109,0.002783756,0.001431958,0.0003072963,0.0005314018,0.00472788],"category_scores_gemma":[0.002554832,0.0003609491,0.000131452,0.00261186,0.001595292,0.001689346,0.001447405,0.0006955081,0.001054373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003947815,"about_ca_system_score_gemma":0.002459917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05562314,"about_ca_topic_score_gemma":0.09403808,"domain_scores_codex":[0.9993554,0.0002136303,0.00007866698,0.00008435228,0.0001268581,0.0001411008],"domain_scores_gemma":[0.997667,0.0007779594,0.000505557,0.00008655868,0.000608316,0.0003546422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00006880073,0.0001376335,0.2961403,0.0004678813,0.0000110495,0.003053498,0.6418,0.0001271446,0.006482225,0.003493135,0.001545341,0.04667291],"study_design_scores_gemma":[0.000005519118,0.0001933956,0.1892993,0.000298784,0.00001183021,0.0008874874,0.7727023,0.0001208903,0.0006803454,0.0004608252,0.03529146,0.0000479083],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875011,0.0004958229,0.0001569518,0.0007982324,0.000005247097,0.00003960265,0.0002213696,0.000004714025,0.0107768],"genre_scores_gemma":[0.9928898,0.00163252,0.0002915906,0.0002034027,0.000002752157,0.00004467095,0.0001569562,0.000006823812,0.004771546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05562314,"threshold_uncertainty_score":0.1105987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01549091372971588,"score_gpt":0.2992984744507849,"score_spread":0.283807560721069,"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."}}