{"id":"W4398239453","doi":"10.1145/3639478.3643062","title":"Technical Brief on Software Engineering for FMware","year":2024,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Software; Engineering management; Trustworthiness; Foundation (evidence); Quality (philosophy); Software engineering; Software quality; Software testing; Software development; Systems engineering; Engineering; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002415729,0.001191502,0.0003886705,0.002467806,0.001064961,0.002358166,0.0008959238,0.002587835,0.02647568],"category_scores_gemma":[0.006356245,0.0005784456,0.0007059277,0.002941575,0.001438722,0.005222399,0.001689202,0.004755245,0.02615117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001409684,"about_ca_system_score_gemma":0.001715943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001058945,"about_ca_topic_score_gemma":0.001848107,"domain_scores_codex":[0.9978145,0.0005262727,0.0003062308,0.0002570886,0.0009708347,0.0001250688],"domain_scores_gemma":[0.9965619,0.001501535,0.0002723208,0.0004039892,0.001014947,0.0002453838],"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":[0.00001781089,0.00005231145,0.0003358625,0.001267267,0.00001438654,0.0004387647,0.0003933823,0.0010025,0.003449446,0.2593837,0.3084171,0.4252275],"study_design_scores_gemma":[0.000001951463,0.0000259777,0.0001544375,0.000385507,0.000003381818,0.0005955246,0.000046739,0.0003894215,0.0004979359,0.03485007,0.9630374,0.00001157625],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002425049,0.1603237,0.5141025,0.06222283,0.02349029,0.0004412269,0.0008609184,0.003719345,0.2324142],"genre_scores_gemma":[0.02915532,0.1943585,0.5151303,0.02310889,0.01788627,0.0007123154,0.002709119,0.002189846,0.2147494],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02647568,"threshold_uncertainty_score":0.08856994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01904638343943995,"score_gpt":0.2693264421236131,"score_spread":0.2502800586841731,"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."}}