{"id":"W1952177100","doi":"10.24908/pceea.v0i0.3968","title":"TRACEABILITY IN MEDICAL DEVICES DESIGN &amp; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001155826,0.0001146066,0.0001335693,0.00024192,0.00009584743,0.0000912528,0.0008485421,0.0001304324,0.00003523459],"category_scores_gemma":[0.0008657518,0.0001078961,0.00005173214,0.0003957758,0.00001040969,0.0003829877,0.00006642887,0.0002311343,0.000007623337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001122712,"about_ca_system_score_gemma":0.0006378843,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01414629,"about_ca_topic_score_gemma":0.0147927,"domain_scores_codex":[0.9987922,0.00001274709,0.0002862645,0.0002262273,0.0003719787,0.0003106009],"domain_scores_gemma":[0.9991948,0.00007883582,0.0002028888,0.0001413074,0.000172956,0.0002091987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005641708,0.0003664689,0.8912503,0.0004412275,0.0001227543,9.859594e-7,0.02636271,0.002646222,0.0003709604,0.03375275,0.01364514,0.03103491],"study_design_scores_gemma":[0.0001429485,0.000008265522,0.9664476,0.0001701296,0.000009162074,0.000005873616,0.0001029485,0.02439822,0.002903604,0.001074839,0.004498305,0.0002381402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790184,0.0001091676,0.005237889,0.005521779,0.002407592,0.0004939644,0.000002047693,0.0002659044,0.006943275],"genre_scores_gemma":[0.9778354,0.000002544157,0.02168991,0.0002197945,0.00007069746,0.00001875255,5.164375e-7,0.00001103032,0.0001514193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07519733,"threshold_uncertainty_score":0.9924186,"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."}}