{"id":"W2005273090","doi":"10.1145/1268517.1268533","title":"Design as traversal and consequences","year":2007,"lang":"en","type":"article","venue":"Proceedings","topic":"Design Education and Practice","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Variety (cybernetics); Computer science; Context (archaeology); Space (punctuation); Tree traversal; Design rationale; Design methods; Design elements and principles; Systems engineering; Human–computer interaction; Management science; Software engineering; Engineering; Artificial intelligence; Programming language","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":[0.0003360835,0.00005321997,0.00004303263,0.00004293867,0.00003147378,0.00004891732,0.00003775599,0.00003172709,0.00008781641],"category_scores_gemma":[0.0000658697,0.00005350679,0.000005734852,0.00008601043,0.00003424746,0.0002062295,0.000003002006,0.00006953446,0.00007542094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001383034,"about_ca_system_score_gemma":0.00001144478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005507092,"about_ca_topic_score_gemma":2.725059e-7,"domain_scores_codex":[0.999688,0.000001397366,0.00006763956,0.00006669783,0.00006052827,0.0001157257],"domain_scores_gemma":[0.9998084,0.00006980132,0.00001234332,0.00001591785,0.00002926927,0.0000642283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000214953,0.00008058844,0.004210806,0.0003742164,0.0001398483,0.0000325058,0.03303686,0.00008765552,0.6418188,0.07979077,0.07463857,0.1655745],"study_design_scores_gemma":[0.0009297979,0.000258145,0.008556556,0.00006601648,0.00008225517,0.0007898746,0.01023644,0.004645241,0.5416495,0.01514227,0.416747,0.0008969293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4854145,0.0007767018,0.03982189,0.001075264,0.000594723,0.0002999064,4.766602e-7,0.0006796072,0.4713369],"genre_scores_gemma":[0.9939022,0.00006594305,0.00540654,0.000170776,0.00005369562,0.000003351538,1.704434e-7,0.000008786675,0.0003885243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5084877,"threshold_uncertainty_score":0.2181944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02377472663415489,"score_gpt":0.2621347611805909,"score_spread":0.238360034546436,"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."}}