{"id":"W4408346318","doi":"10.1007/978-3-031-83072-3_1","title":"Work in Progress: Considering Human Factors in Collaborative Decision Making for Secure Architecture Design","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Architecture; Work (physics); Software engineering; Human–computer interaction; Computer architecture; Engineering","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":[0.005132894,0.0009059677,0.0004436249,0.0005792881,0.001291533,0.00497671,0.0013979,0.001714193,0.006830195],"category_scores_gemma":[0.008951388,0.0002998807,0.0006296272,0.0008075048,0.00211958,0.005946772,0.001494643,0.001804251,0.0005900011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001430026,"about_ca_system_score_gemma":0.003070708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005247332,"about_ca_topic_score_gemma":0.005720333,"domain_scores_codex":[0.9970928,0.001913727,0.00006498014,0.0002303636,0.0005018851,0.0001961895],"domain_scores_gemma":[0.9923825,0.005883269,0.0002354294,0.0003964261,0.0006717091,0.0004307202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003115839,0.0006811448,0.00615379,0.0006352199,0.0002763283,0.0005153574,0.008983014,0.1359838,0.005045467,0.3686242,0.01000454,0.4627856],"study_design_scores_gemma":[0.00007355992,0.0007264453,0.004125905,0.0005823291,0.0002314835,0.0002268512,0.01006654,0.4954336,0.007578806,0.4378211,0.04301992,0.0001133782],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1776645,0.00917165,0.6491378,0.01039211,0.0005454865,0.0002435865,0.000068815,0.0002459242,0.1525301],"genre_scores_gemma":[0.8340576,0.003040947,0.148911,0.0003277927,0.0001865916,0.0001146087,0.00006275917,0.00005720618,0.01324153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006830195,"threshold_uncertainty_score":0.02714568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02213736778860807,"score_gpt":0.286064512068336,"score_spread":0.2639271442797279,"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."}}