{"id":"W1952177100","doi":"10.24908/pceea.v0i0.3968","title":"TRACEABILITY IN MEDICAL DEVICES DESIGN & MANUFACTURING","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Spreadsheets and End-User Computing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Traceability; Reuse; Computer science; Requirements traceability; Systems engineering; Process (computing); Software engineering; Process management; Knowledge management; Engineering; Requirements analysis; Software; Requirement","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.008589907,0.0008730961,0.0006020995,0.00492494,0.001367442,0.00562379,0.002442085,0.002205977,0.005079507],"category_scores_gemma":[0.02614007,0.0009457385,0.001040587,0.002330181,0.003565894,0.005468787,0.003015193,0.002052011,0.001030892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002155846,"about_ca_system_score_gemma":0.00291368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004536657,"about_ca_topic_score_gemma":0.003052183,"domain_scores_codex":[0.9882028,0.004892142,0.001098292,0.001152298,0.004309959,0.000344607],"domain_scores_gemma":[0.9829631,0.01014585,0.001557993,0.003059576,0.001997934,0.0002755915],"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":[0.000187247,0.0002577961,0.002955956,0.001119406,0.00008606035,0.0006048664,0.003516188,0.03500482,0.01287508,0.1700322,0.00224324,0.7711172],"study_design_scores_gemma":[0.0001701035,0.0009540757,0.005578353,0.002537767,0.0002054933,0.002785033,0.002302392,0.1744181,0.1101584,0.434321,0.2662784,0.0002909392],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00806854,0.001387128,0.9813811,0.0007105513,0.0000650212,0.0001717866,0.00005664029,0.001091991,0.007067219],"genre_scores_gemma":[0.1633152,0.001802033,0.8274965,0.0002392988,0.00005735585,0.0002671384,0.0002455664,0.000255544,0.006321383],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.008589907,"threshold_uncertainty_score":0.04542834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0222050071221256,"score_gpt":0.217252126811139,"score_spread":0.1950471196890134,"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."}}