{"id":"W2101830796","doi":"10.24908/pceea.v0i0.4011","title":"DBDB: A DATABASE FOR DESIGN BIBLIOGRAPHY","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Design Education and Practice","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Faculty of Engineering, McGill University; McGill University","keywords":"Bibliography; Subject (documents); Task (project management); Database; Computer science; Bibliographic database; Swift; Face (sociological concept); World Wide Web; Engineering; Library science; Systems engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.006175081,0.002799165,0.00401257,0.04633621,0.003260473,0.01331113,0.006983509,0.004193123,0.09260442],"category_scores_gemma":[0.03832581,0.002211216,0.001763074,0.05827768,0.001255817,0.01270769,0.007338181,0.003381918,0.1003796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004684992,"about_ca_system_score_gemma":0.01826776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04018095,"about_ca_topic_score_gemma":0.04341516,"domain_scores_codex":[0.9937369,0.0008538297,0.002184401,0.0008398283,0.001999988,0.0003849643],"domain_scores_gemma":[0.9697289,0.007832064,0.003085046,0.005887578,0.009819487,0.003646895],"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":[0.000167948,0.00006096483,0.0007202761,0.005095467,0.00008049715,0.0002479763,0.0003644236,0.0007692788,0.001132383,0.01410794,0.9019348,0.07531807],"study_design_scores_gemma":[0.00006356333,0.00001466744,0.0006504882,0.0005271941,0.00003539594,0.0001288623,0.0001584195,0.0004777757,0.0004071389,0.003891747,0.9935942,0.00005052607],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001015048,0.004926266,0.03629483,0.001390626,0.0005834854,0.0007965962,0.8777925,0.03985641,0.03734428],"genre_scores_gemma":[0.002279262,0.004690504,0.05312731,0.0003995086,0.0001877794,0.0008916903,0.926275,0.003460542,0.008688296],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09260442,"threshold_uncertainty_score":0.3097927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02715101751131231,"score_gpt":0.2162458727434033,"score_spread":0.189094855232091,"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."}}