{"id":"W4387142604","doi":"10.1109/rew57809.2023.00014","title":"AIRE 2023: 10th International Workshop on Artificial Intelligence and Requirements Engineering","year":2023,"lang":"en","type":"article","venue":"","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Artificial intelligence; Engineering management; 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":[0.02194778,0.00300489,0.002750829,0.002709406,0.001972006,0.01090713,0.004450817,0.006222459,0.07134533],"category_scores_gemma":[0.01432425,0.001311006,0.004832658,0.001893962,0.00168025,0.007288442,0.006182967,0.008263779,0.03841016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003873201,"about_ca_system_score_gemma":0.006684184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005424371,"about_ca_topic_score_gemma":0.007937284,"domain_scores_codex":[0.9880413,0.005046338,0.0008099171,0.0011351,0.004046188,0.0009211075],"domain_scores_gemma":[0.9890774,0.003656211,0.0003408737,0.001386873,0.003464886,0.002073737],"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":[0.0002216658,0.0002824392,0.0002399663,0.0005559318,0.0001043329,0.0003408643,0.0005380737,0.002093534,0.002923734,0.0206027,0.8419684,0.1301283],"study_design_scores_gemma":[0.00003882428,0.00007862904,0.0004000426,0.0003874036,0.00001912496,0.000204652,0.0001818819,0.002467464,0.0006581087,0.01144576,0.9840862,0.00003190456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01159615,0.06220778,0.4242439,0.09254669,0.09469282,0.003817453,0.01226924,0.01001109,0.2886148],"genre_scores_gemma":[0.04135136,0.03212736,0.3670477,0.01681654,0.01247318,0.003781335,0.05062813,0.007735587,0.4680388],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07134533,"threshold_uncertainty_score":0.2386739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07246314782763427,"score_gpt":0.3201612001424345,"score_spread":0.2476980523148003,"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."}}