{"id":"W1932147983","doi":"10.24908/pceea.v0i0.3941","title":"ELICITATION, REPRESENTATION AND MANAGEMENT OF SOFTWARE DESIGN KNOWLEDGE","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Knowledge management; Computer science; Domain knowledge; Body of knowledge; Software deployment; Descriptive knowledge; Personal knowledge management; Knowledge engineering; Reuse; Knowledge representation and reasoning; Knowledge value chain; Software engineering; Organizational learning; Artificial intelligence; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005628893,0.0001056353,0.0001308811,0.0002503701,0.00007701378,0.00003266709,0.000420804,0.00007427963,0.000002228062],"category_scores_gemma":[0.001304738,0.000107392,0.0000391324,0.0006327932,0.00001754085,0.0003863163,0.00006535292,0.00008858509,0.000001580036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004817455,"about_ca_system_score_gemma":0.0001641399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006182889,"about_ca_topic_score_gemma":0.0001140074,"domain_scores_codex":[0.9991984,0.00001413124,0.0002436505,0.0001902157,0.0001763705,0.0001771752],"domain_scores_gemma":[0.9988133,0.0001541513,0.0002837232,0.0001428218,0.0005172128,0.0000888034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000172703,0.0003556131,0.1076011,0.003539925,0.0008186646,9.426207e-7,0.04982489,0.0278198,0.006115609,0.6702964,0.01772593,0.1158839],"study_design_scores_gemma":[0.0004994721,0.00007903199,0.9045832,0.0006681813,0.0001215741,0.00001133198,0.0009564992,0.008733881,0.04645069,0.03480022,0.002397154,0.0006988003],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02198512,0.0003479331,0.9735736,0.0005023024,0.001474057,0.0005970147,0.000004208564,0.0002398147,0.001275955],"genre_scores_gemma":[0.3152938,0.00003960147,0.6841421,0.00002430249,0.0000216484,0.00005260371,9.121328e-7,0.00001460082,0.0004104669],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.796982,"threshold_uncertainty_score":0.4379317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04524927723184269,"score_gpt":0.2632986687519532,"score_spread":0.2180493915201105,"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."}}